{ "cells": [ { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "# Jupyter 科學計算實驗室\n", "\n", "![Python](images/python2.png)\n", "\n", "\n", "#### 蔡炎龍\n", "#### 政治大學應用數學系\n", "\n", "### 2015 台南大學應用數學系" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "# 本次演講內容在這裡\n", "\n", "![演講講義](images/url.png)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "# 1. Python 這個程式語言" ] }, { "cell_type": "markdown", "metadata": { "collapsed": true, "slideshow": { "slide_type": "subslide" } }, "source": [ "## 創始人是 Guido van Rossum\n", "\n", "![gudio](images/gudio.png)\n", "\n", "* 1989 年聖誕節宅在家裡的作品\n", "* 簡單易學、但功能強大" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## Python 粉絲團\n", "\n", "* Youtube, Blender (蜘蛛人), NASA, 全美各大學\n", "* 數據分析 Big 3!" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 我也加入粉絲團\n", "\n", "2000 年的時候, 我特別「贊助」了 Python 程式語言。\n", "\n", "![psa](images/psa.png)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 2015 年 TIOBE Index\n", "\n", "![TIOBE](images/TIOBE.png)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "# 2. Python 有很多套件管理...\n", "\n", "好像你可以自由選, 結果弄得有些麻煩!" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 大救星 Anaconda\n", "\n", "很多套件, 尤其科學計算的都裝好了!\n", "\n", "[Anaconda 下載點](https://www.continuum.io/downloads)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 於是你只要打入神秘的\n", "\n", " ipython notebook\n", " \n", "就可以用瀏覽器打開 Jupyter!\n", "\n", "[IPython 的安裝與執行 (影片)](https://youtu.be/WB8hg6UZeY0)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "# 3. 等等, Jupyter?" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 原本叫 IPython\n" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 原創者是 Fernado Perez 博士\n", "\n", "[Fernado 在台灣介紹 IPython 的影片](http://youtu.be/ZD5n9s8PGtI)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 你可以一邊寫程式、一邊做筆記, 甚至簡報也不用特別做!!" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 因為 IPython 太好用, 其他程式語也也想用這個介面!" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 於是這個界面改叫 Jupyter!\n", "\n", "#### 名稱來自 Julia, Python, R; 當然還有木星!" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "# 4. It's Magic!\n", "\n", "#### 沒想到 Jupyter 這麼炫" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 就這樣\n", "\n", "就讀入基本的科學計算套件 (包括 `numpy`, `matplotlib`)" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": false, "slideshow": { "slide_type": "-" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Populating the interactive namespace from numpy and matplotlib\n" ] } ], "source": [ "%pylab inline" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 我們來畫串資料\n", "\n", "以台南每月平均溫度為例。" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": true }, "outputs": [], "source": [ "temp = [17.6, 18.6, 21.2, 24.5, 27.2, 28.5, 29.2, \n", " 28.8, 28.1, 26.1, 22.8, 19.1]" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": false, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot(temp)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## plot 的基本用法\n", "\n", " plot(x 的座標串列, y 的座標串列)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 偷懶法\n", "\n", "我們也可省略 x 座標串列, 此時內設 x = [0, 1, 2, ..., n], n 是 y 的長度。\n", "\n", " plot(y 的座標串列)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 自動生串列\n", "\n", "因為 Python 的串列太重要, 我們不時要自動生成一下。" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "collapsed": true }, "outputs": [], "source": [ "mylist = range(12)" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "mylist" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 從 1 開始的串列" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "collapsed": true }, "outputs": [], "source": [ "x = range(1, 13)" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "x" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 再度畫出來" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot(x, temp)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 長條圖也可以" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "bar(x, temp)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## 自動生資料\n", "\n", "我們什麼資料都不餵, 當場生出來!" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "collapsed": false, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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GDs1z9pAoJiZft7iO3Y1iYDyO8eXrECfsNyA5++lIh5dP1IDsANLRd3n+h38O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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot(randn(100))" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "# 5. Python 是真的可愛\n", "\n", "這次純耍寶" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "![xkcd Python](http://imgs.xkcd.com/comics/python.png)\n", "\n", "from xkcd" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 進入 xkcd 模式" ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "plt.xkcd()" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 可愛的事發生了" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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4gMcfB3r2lNsioirz2mv87yefRO6iJoFwtFMScY+NjYW9KmTWr6J89x0PPzMa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\nion76dOn0apVK3z11VdYvHgxFixYcFMNLdcla7f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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot(x, temp)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 長條圖也是" ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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bRjq95sz55e92vhArICmzo9EoeGe+Ml/TwhCpfN7wudlEqrVnTtpSrT/zzF1t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\nhSjOXUFBQWEUojh3BQUFhVHI/wPAXBy2hauCHwAAAABJRU5ErkJggg==\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "bar(x, temp)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "#### 這裡只是讓一切回復..." ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Populating the interactive namespace from numpy and matplotlib\n" ] } ], "source": [ "rcdefaults()\n", "%pylab inline" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "# 6. 做筆記好簡單!\n", "\n", "#### Markdown + LaTeX 都可以!!" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## Markdown\n", "\n", "快速打出有格式的文件" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 標題和引文\n", "\n", "### headings\n", "\n", " # 大標題\n", " ## 次標題\n", " \n", "### blockquotes\n", "\n", " > 引用文章\n", " \n", "> 引用文章" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 條列\n", "\n", "```list\n", "* item 1\n", "* item 2\n", "* item 3```\n", "\n", "* item 1\n", "* item 2\n", "* item 3" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 程式碼\n", "\n", " 行內的程式碼, 比如說 `cd` 這個指令。\n", " \n", "行內的程式碼, 比如說 `cd` 這個指令。\n", "\n", "空格可以照你的排列。\n", "\n", "```\n", " for i in range(10):\n", " print(i)\n", "```\n", "\n", "結果:\n", "\n", " for i in range(10):\n", " print(i)\n", " \n", "還可以根據程式語言高亮化!!\n", "\n", "```python\n", " for i in range(10):\n", " print(i)\n", "```" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 超連結和圖形\n", "\n", "### 超連結是這樣\n", "\n", " [web name](http://foo.com.tw)\n", "\n", "### 圖形是這樣\n", "\n", " ![image name](filename)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 基本上可以在網頁呈現的都可以\n", "\n", "![示範 gif](images/symm.gif)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 內建支援 LaTeX!\n", "\n", "和我們的展示、隨文用法一樣。比如說\n", "\n", "```latex\n", "$$f(x) = \\int_a^b f(x) \\, dx$$\n", "```\n", "\n", "結果是:\n", "\n", "$$f(x) = \\int_a^b f(x) \\, dx$$" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 離線使用 LaTeX\n", "\n", "LaTeX 事實上是用 MathJax 網路服務來做的, 要離線使用 (一台電腦做一次即可), 可以這樣下指令:\n", "\n", "```python\n", "from IPython.external.mathjax import install_mathjax\n", "install_mathjax()\n", "```" ] }, { "cell_type": "markdown", "metadata": { "collapsed": true, "slideshow": { "slide_type": "slide" } }, "source": [ "# 7. Hello, World!\n", "\n", "Python 的字串" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 我們可以這樣 Hello, World!" ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "hello, world\n" ] } ], "source": [ "print(\"hello, world\")" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 用字串來" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "hello, world\n" ] } ], "source": [ "message = \"hello, world\"\n", "print message" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 分解字串\n", "\n", "把資料做各種拆解是科學計學分析的根本。" ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "['hello', ' world']" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "message.split(\",\")" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 位置這樣算\n", "\n", "![hello world](images/hello.png)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 例如第 0 個位置" ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "'h'" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ "message[0]" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 負的也可以" ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "'worl'" ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ "message[-5:-1]" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 練習\n", "\n", "給一個字串, 把所有字母從後面到前面列出。" ] }, { "cell_type": "code", "execution_count": 20, "metadata": { "collapsed": false, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/plain": [ "'dlrow ,olleh'" ] }, "execution_count": 20, "metadata": {}, "output_type": "execute_result" } ], "source": [ "message[::-1]" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "# 8. list 是我們分析的基本結構\n", "\n", "我們可以想成 list 是一串的資料, 在 numpy 叫 array, 在 pandas 叫 series, 雖然嚴格說它們有點不一樣。" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 前面用過的生資料方法" ] }, { "cell_type": "code", "execution_count": 21, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]" ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" } ], "source": [ "range(10)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## Python 的迴圈基本上用 list 達成" ] }, { "cell_type": "code", "execution_count": 22, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " *\n", " *\n", " *\n", " *\n", " *\n", " *\n", " *\n", " *\n", " *\n", " *\n" ] } ], "source": [ "for i in range(10):\n", " print \" \"*randint(1,15) + \"*\"" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 用 `for` 迴圈創造 list" ] }, { "cell_type": "code", "execution_count": 23, "metadata": { "collapsed": true }, "outputs": [], "source": [ "L = []\n", "for i in range(6):\n", " L.append(2*i)" ] }, { "cell_type": "code", "execution_count": 24, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "[0, 2, 4, 6, 8, 10]" ] }, "execution_count": 24, "metadata": {}, "output_type": "execute_result" } ], "source": [ "L" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## Python 風一行文!" ] }, { "cell_type": "code", "execution_count": 25, "metadata": { "collapsed": true }, "outputs": [], "source": [ "S = [2*i for i in range(6)]" ] }, { "cell_type": "code", "execution_count": 26, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "[0, 2, 4, 6, 8, 10]" ] }, "execution_count": 26, "metadata": {}, "output_type": "execute_result" } ], "source": [ "S" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "# 9. 可以下系統指令\n", "\n", "如果你熟悉 Unix Like 指令列的動作, 在 Jupyter 中真的非常方便!" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 看目前資料夾中的檔案\n", "\n", "你會發現指接打就好!!" ] }, { "cell_type": "code", "execution_count": 27, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Jupyter_Lab.ipynb README.md \u001b[31mimages\u001b[m\u001b[m/ spam.py\r\n" ] } ], "source": [ "ls" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 沒有直接支援的, 打 ! 就可以" ] }, { "cell_type": "code", "execution_count": 28, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "en0: flags=8863 mtu 1500\r\n", "\tether 84:38:35:67:c9:20 \r\n", "\tinet6 fe80::8638:35ff:fe67:c920%en0 prefixlen 64 scopeid 0x4 \r\n", "\tinet 172.20.10.3 netmask 0xfffffff0 broadcast 172.20.10.15\r\n", "\tnd6 options=1\r\n", "\tmedia: autoselect\r\n", "\tstatus: active\r\n" ] } ], "source": [ "!ifconfig en0" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 更棒的是, Python 有在看..." ] }, { "cell_type": "code", "execution_count": 29, "metadata": { "collapsed": true }, "outputs": [], "source": [ "out = !ifconfig en0 | grep inet" ] }, { "cell_type": "code", "execution_count": 30, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "['\\tinet6 fe80::8638:35ff:fe67:c920%en0 prefixlen 64 scopeid 0x4 ',\n", " '\\tinet 172.20.10.3 netmask 0xfffffff0 broadcast 172.20.10.15']" ] }, "execution_count": 30, "metadata": {}, "output_type": "execute_result" } ], "source": [ "out" ] }, { "cell_type": "code", "execution_count": 31, "metadata": { "collapsed": false, "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "My IP is: 172.20.10.3\n" ] } ], "source": [ "print \"My IP is: \" + out[1].split()[1]" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "# 10. 存檔和執行\n", "\n", "我們打這麼高興, 可不可以把我們邊玩邊寫的存成一個 .py 檔?" ] }, { "cell_type": "code", "execution_count": 32, "metadata": { "collapsed": true }, "outputs": [], "source": [ "def love(n):\n", " return \"love\" * n" ] }, { "cell_type": "code", "execution_count": 33, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "'lovelovelove'" ] }, "execution_count": 33, "metadata": {}, "output_type": "execute_result" } ], "source": [ "love(3)" ] }, { "cell_type": "code", "execution_count": 34, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "lovelovelovelovelove\n" ] } ], "source": [ "print love(5)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 存檔" ] }, { "cell_type": "code", "execution_count": 35, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "File `spam.py` exists. Overwrite (y/[N])? y\n", "The following commands were written to file `spam.py`:\n", "def love(n):\n", " return \"love\" * n\n", "print love(5)\n" ] } ], "source": [ "%save spam.py 32 34" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 執行" ] }, { "cell_type": "code", "execution_count": 36, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "lovelovelovelovelove\n" ] } ], "source": [ "%run spam.py" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "# 11. Array 導向程式\n", "\n", "在科學計算、資料分析, array 型的思考方式, 常常讓程式快速方便!" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 雖然 array 很像 list" ] }, { "cell_type": "code", "execution_count": 37, "metadata": { "collapsed": true }, "outputs": [], "source": [ "iamlist = [1,3,-2,5]" ] }, { "cell_type": "code", "execution_count": 38, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "[1, 3, -2, 5, 1, 3, -2, 5]" ] }, "execution_count": 38, "metadata": {}, "output_type": "execute_result" } ], "source": [ "iamlist * 2" ] }, { "cell_type": "code", "execution_count": 39, "metadata": { "collapsed": true, "slideshow": { "slide_type": "subslide" } }, "outputs": [], "source": [ "iamarray = array([1,3,-2,5])" ] }, { "cell_type": "code", "execution_count": 40, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "array([ 2, 6, -4, 10])" ] }, "execution_count": 40, "metadata": {}, "output_type": "execute_result" } ], "source": [ "iamarray * 2" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 這樣也可以!" ] }, { "cell_type": "code", "execution_count": 41, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "array([ 0.84147098, 0.14112001, -0.90929743, -0.95892427])" ] }, "execution_count": 41, "metadata": {}, "output_type": "execute_result" } ], "source": [ "sin(iamarray)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 用 array 來畫圖\n", "\n", "記得畫圖基本上是:\n", "\n", " plot(X, Y)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 畫 sinc\n", "\n", "在 information theory/digital signal processing):\n", "\n", "$$\\mbox{sinc}(x) = \\frac{\\sin(\\pi x)}{\\pi x}$$" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 先生出 x 的座標" ] }, { "cell_type": "code", "execution_count": 42, "metadata": { "collapsed": true }, "outputs": [], "source": [ "x = linspace(-10, 10, 1000)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## Array 式的畫圖!" ] }, { "cell_type": "code", "execution_count": 43, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot(x, sinc(x));" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 想標出函數值大於零的部份" ] }, { "cell_type": "code", "execution_count": 44, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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k+tPA9LK2Jr+mY7fB5+lOZ0rpXgKewW6TfypvU3LnO9hKyWc970W5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\nKRMEm2YITUkAAAAASUVORK5CYII=\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "y = sinc(x)\n", "plot(x, y);\n", "plot(x[y>0], y[y>0], 'ro');" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 改變 array 的 shape" ] }, { "cell_type": "code", "execution_count": 45, "metadata": { "collapsed": true }, "outputs": [], "source": [ "x.shape = (20,50)" ] }, { "cell_type": "code", "execution_count": 46, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "imshow(x);" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 當然還是可以直接套用函數" ] }, { "cell_type": "code", "execution_count": 47, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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PLysyR4i0/bSzE/KDAy7DMllMH634+bvv+TPDSKKkHsPSjkiIpA8GUud82Eby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\nOHHixIkTJ06cOHHixIkTJ050xP8H1QWpfDtYQCYAAAAASUVORK5CYII=\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "imshow(sinc(x));" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 延伸學習\n", "\n", "Travis Oliphant (Numpy, SciPy, Anaconda 開發者), 介紹 \"array-oriented\" 的計算技巧。這段影片是 Travis 在 2012 年, 在第一次 PyCon Taiwan 的中演講。\n", "\n", "[Large-scale array-oriented computing with Python (YouTube)](http://youtu.be/vrPRwUOt-7k)\n", "\n", "[投影片](http://www.slideshare.net/pycontw/largescale-arrayoriented-computing-with-python)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "# 12. 網路資料神速抓\n", "\n", "我們來看個有名的網路爬蟲例子。" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## Mac Benchmark...\n", "\n", "[Mac Benchmark](https://browser.primatelabs.com/mac-benchmarks)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## requests package\n", "\n", "有名的 http request 套件。" ] }, { "cell_type": "code", "execution_count": 48, "metadata": { "collapsed": true }, "outputs": [], "source": [ "import requests" ] }, { "cell_type": "code", "execution_count": 49, "metadata": { "collapsed": false }, "outputs": [], "source": [ "res = requests.get(\"https://browser.primatelabs.com/mac-benchmarks\")" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 看看結果\n", "\n", "基本上就是整個 html 的檔案。" ] }, { "cell_type": "code", "execution_count": 50, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "u'\\n\\n\\n\\n\\n\\n\\n\\n\\nMac Benchmarks\\n - Geekbench Browser\\n\\n\\n\\n\\n\\n\\n\\n
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Mac Benchmarks

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\\nWelcome to Primate Labs\\' Mac benchmark chart. The data on this chart is calculated from Geekbench 3 results users have uploaded to the Geekbench Browser. To make sure the results accurately reflect the average performance of each Mac, the chart only includes Macs with at least five unique results in the Geekbench Browser.\\n

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\\nGeekbench 3 scores are calculated against a baseline score of 2500. This baseline score represents the performance of an Intel Core i5-2520M @ 2.50 GHz. Higher scores are better, with twice the score meaning twice the performance.\\n

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\\nCurious how your Mac (or PC) compares? Download Geekbench 3 and find out how your computer measures up to the Macs on this chart.\\n

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\\nThis chart was last updated 21 minutes ago.\\n

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\\n\\n
\\n
\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n
MacScore
\\n
\\n\\niMac (27-inch Retina)\\n\\n
\\nIntel Core i7-4790K 4000 MHz\\n(4 cores)\\n
\\n
\\n3883\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (27-inch Late 2013)\\n\\n
\\nIntel Core i7-4771 3500 MHz\\n(4 cores)\\n
\\n
\\n3504\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (21.5-inch Late 2013)\\n\\n
\\nIntel Core i7-4770S 3100 MHz\\n(4 cores)\\n
\\n
\\n3485\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Retina Mid 2014)\\n\\n
\\nIntel Core i7-4980HQ 2800 MHz\\n(4 cores)\\n
\\n
\\n3471\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (27-inch Retina)\\n\\n
\\nIntel Core i5-4690 3500 MHz\\n(4 cores)\\n
\\n
\\n3461\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Retina Mid 2015)\\n\\n
\\nIntel Core i7-4980HQ 2800 MHz\\n(4 cores)\\n
\\n
\\n3445\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (27-inch Late 2013)\\n\\n
\\nIntel Core i5-4670 3400 MHz\\n(4 cores)\\n
\\n
\\n3394\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Retina Late 2013)\\n\\n
\\nIntel Core i7-4960HQ 2600 MHz\\n(4 cores)\\n
\\n
\\n3317\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Retina Mid 2014)\\n\\n
\\nIntel Core i7-4870HQ 2500 MHz\\n(4 cores)\\n
\\n
\\n3253\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Retina Mid 2015)\\n\\n
\\nIntel Core i7-4870HQ 2500 MHz\\n(4 cores)\\n
\\n
\\n3250\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (27-inch Late 2013)\\n\\n
\\nIntel Core i5-4570 3200 MHz\\n(4 cores)\\n
\\n
\\n3237\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Late 2013)\\n\\n
\\nIntel Xeon E5-1620 v2 3700 MHz\\n(4 cores)\\n
\\n
\\n3222\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Late 2013)\\n\\n
\\nIntel Xeon E5-1650 v2 3500 MHz\\n(6 cores)\\n
\\n
\\n3213\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (21.5-inch Late 2013)\\n\\n
\\nIntel Core i5-4570S 2900 MHz\\n(4 cores)\\n
\\n
\\n3209\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Late 2013)\\n\\n
\\nIntel Xeon E5-1680 v2 3000 MHz\\n(8 cores)\\n
\\n
\\n3195\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (27-inch Late 2012)\\n\\n
\\nIntel Core i7-3770 3400 MHz\\n(4 cores)\\n
\\n
\\n3184\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (21.5-inch Late 2012)\\n\\n
\\nIntel Core i7-3770S 3100 MHz\\n(4 cores)\\n
\\n
\\n3156\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Retina Early 2015)\\n\\n
\\nIntel Core i7-5557U 3100 MHz\\n(2 cores)\\n
\\n
\\n3099\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Retina Mid 2014)\\n\\n
\\nIntel Core i7-4578U 3000 MHz\\n(2 cores)\\n
\\n
\\n3097\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Late 2014)\\n\\n
\\nIntel Core i7-4578U 3000 MHz\\n(2 cores)\\n
\\n
\\n3095\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Retina Late 2013)\\n\\n
\\nIntel Core i7-4850HQ 2300 MHz\\n(4 cores)\\n
\\n
\\n3095\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Retina Early 2013)\\n\\n
\\nIntel Core i7-3840QM 2800 MHz\\n(4 cores)\\n
\\n
\\n3052\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Retina Early 2015)\\n\\n
\\nIntel Core i5-5287U 2900 MHz\\n(2 cores)\\n
\\n
\\n3029\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Retina Mid 2014)\\n\\n
\\nIntel Core i7-4770HQ 2200 MHz\\n(4 cores)\\n
\\n
\\n3027\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Mid 2012)\\n\\n
\\nIntel Core i7-3820QM 2700 MHz\\n(4 cores)\\n
\\n
\\n3025\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Retina Mid 2015)\\n\\n
\\nIntel Core i7-4770HQ 2200 MHz\\n(4 cores)\\n
\\n
\\n3011\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Late 2014)\\n\\n
\\nIntel Core i5-4308U 2800 MHz\\n(2 cores)\\n
\\n
\\n2976\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Retina Early 2013)\\n\\n
\\nIntel Core i7-3740QM 2700 MHz\\n(4 cores)\\n
\\n
\\n2974\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (27-inch Late 2012)\\n\\n
\\nIntel Core i5-3470 3200 MHz\\n(4 cores)\\n
\\n
\\n2973\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (21.5-inch Late 2012)\\n\\n
\\nIntel Core i5-3470S 2900 MHz\\n(4 cores)\\n
\\n
\\n2970\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (27-inch Late 2012)\\n\\n
\\nIntel Core i5-3470S 2900 MHz\\n(4 cores)\\n
\\n
\\n2952\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Retina Late 2013)\\n\\n
\\nIntel Core i7-4558U 2800 MHz\\n(2 cores)\\n
\\n
\\n2948\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Mid 2012)\\n\\n
\\nIntel Core i7-3720QM 2600 MHz\\n(4 cores)\\n
\\n
\\n2935\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Retina Mid 2014)\\n\\n
\\nIntel Core i5-4308U 2800 MHz\\n(2 cores)\\n
\\n
\\n2923\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Late 2012)\\n\\n
\\nIntel Core i7-3720QM 2600 MHz\\n(4 cores)\\n
\\n
\\n2908\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (11-inch Early 2015)\\n\\n
\\nIntel Core i7-5650U 2200 MHz\\n(2 cores)\\n
\\n
\\n2900\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (Retina)\\n\\n
\\nIntel Core i7-3720QM 2600 MHz\\n(4 cores)\\n
\\n
\\n2890\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (13-inch Early 2015)\\n\\n
\\nIntel Core i7-5650U 2200 MHz\\n(2 cores)\\n
\\n
\\n2887\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Retina Early 2015)\\n\\n
\\nIntel Core i5-5257U 2700 MHz\\n(2 cores)\\n
\\n
\\n2887\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Mid 2012)\\n\\n
\\nIntel Core i7-3520M 2900 MHz\\n(2 cores)\\n
\\n
\\n2881\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (21.5-inch Late 2013)\\n\\n
\\nIntel Core i5-4570R 2700 MHz\\n(4 cores)\\n
\\n
\\n2869\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Retina Early 2013)\\n\\n
\\nIntel Core i7-3540M 3000 MHz\\n(2 cores)\\n
\\n
\\n2846\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (11-inch Mid 2013)\\n\\n
\\nIntel Core i7-4650U 1700 MHz\\n(2 cores)\\n
\\n
\\n2830\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Late 2013)\\n\\n
\\nIntel Xeon E5-2697 v2 2700 MHz\\n(12 cores)\\n
\\n
\\n2826\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Late 2014)\\n\\n
\\nIntel Core i5-4278U 2600 MHz\\n(2 cores)\\n
\\n
\\n2825\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (Retina)\\n\\n
\\nIntel Core i7-3820QM 2700 MHz\\n(4 cores)\\n
\\n
\\n2825\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (13-inch Mid 2013)\\n\\n
\\nIntel Core i7-4650U 1700 MHz\\n(2 cores)\\n
\\n
\\n2825\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (27-inch Mid 2011)\\n\\n
\\nIntel Core i7-2600 3400 MHz\\n(4 cores)\\n
\\n
\\n2811\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Retina Late 2013)\\n\\n
\\nIntel Core i7-4750HQ 2000 MHz\\n(4 cores)\\n
\\n
\\n2801\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (21.5-inch Mid 2011)\\n\\n
\\nIntel Core i7-2600S 2800 MHz\\n(4 cores)\\n
\\n
\\n2797\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Retina Early 2013)\\n\\n
\\nIntel Core i7-3635QM 2400 MHz\\n(4 cores)\\n
\\n
\\n2782\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Retina Late 2013)\\n\\n
\\nIntel Core i5-4288U 2600 MHz\\n(2 cores)\\n
\\n
\\n2779\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Retina)\\n\\n
\\nIntel Core i7-3520M 2900 MHz\\n(2 cores)\\n
\\n
\\n2769\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Retina Mid 2014)\\n\\n
\\nIntel Core i5-4278U 2600 MHz\\n(2 cores)\\n
\\n
\\n2753\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Mid 2012)\\n\\n
\\nIntel Core i7-3615QM 2300 MHz\\n(4 cores)\\n
\\n
\\n2728\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (21.5-inch Mid 2011)\\n\\n
\\nIntel Core i5-2500S 2700 MHz\\n(4 cores)\\n
\\n
\\n2706\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (27-inch Mid 2011)\\n\\n
\\nIntel Core i5-2500S 2700 MHz\\n(4 cores)\\n
\\n
\\n2704\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (Retina)\\n\\n
\\nIntel Core i7-3615QM 2300 MHz\\n(4 cores)\\n
\\n
\\n2698\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (17-inch Late 2011)\\n\\n
\\nIntel Core i7-2860QM 2500 MHz\\n(4 cores)\\n
\\n
\\n2698\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (21.5-inch Late 2012)\\n\\n
\\nIntel Core i5-3335S 2700 MHz\\n(4 cores)\\n
\\n
\\n2690\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Late 2012)\\n\\n
\\nIntel Core i7-3615QM 2300 MHz\\n(4 cores)\\n
\\n
\\n2687\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Late 2011)\\n\\n
\\nIntel Core i7-2860QM 2500 MHz\\n(4 cores)\\n
\\n
\\n2678\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Retina Late 2013)\\n\\n
\\nIntel Core i5-4258U 2400 MHz\\n(2 cores)\\n
\\n
\\n2615\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Late 2011)\\n\\n
\\nIntel Core i7-2760QM 2400 MHz\\n(4 cores)\\n
\\n
\\n2599\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (17-inch Late 2011)\\n\\n
\\nIntel Core i7-2760QM 2400 MHz\\n(4 cores)\\n
\\n
\\n2595\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (27-inch Mid 2011)\\n\\n
\\nIntel Core i5-2400 3100 MHz\\n(4 cores)\\n
\\n
\\n2577\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (17-inch Early 2011)\\n\\n
\\nIntel Core i7-2820QM 2300 MHz\\n(4 cores)\\n
\\n
\\n2549\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (11-inch Mid 2012)\\n\\n
\\nIntel Core i7-3667U 2000 MHz\\n(2 cores)\\n
\\n
\\n2538\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Mid 2010)\\n\\n
\\nIntel Xeon W3680 3330 MHz\\n(6 cores)\\n
\\n
\\n2533\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (13-inch Mid 2012)\\n\\n
\\nIntel Core i7-3667U 2000 MHz\\n(2 cores)\\n
\\n
\\n2530\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (11-inch Early 2015)\\n\\n
\\nIntel Core i5-5250U 1600 MHz\\n(2 cores)\\n
\\n
\\n2530\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Mid 2011)\\n\\n
\\nIntel Core i7-2620M 2700 MHz\\n(2 cores)\\n
\\n
\\n2514\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (27-inch Mid 2010)\\n\\n
\\nIntel Core i5-680 3600 MHz\\n(2 cores)\\n
\\n
\\n2508\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Retina Early 2013)\\n\\n
\\nIntel Core i5-3230M 2600 MHz\\n(2 cores)\\n
\\n
\\n2507\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Late 2011)\\n\\n
\\nIntel Core i7-2640M 2800 MHz\\n(2 cores)\\n
\\n
\\n2502\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (13-inch Early 2015)\\n\\n
\\nIntel Core i5-5250U 1600 MHz\\n(2 cores)\\n
\\n
\\n2501\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Mid 2012)\\n\\n
\\nIntel Core i5-3210M 2500 MHz\\n(2 cores)\\n
\\n
\\n2496\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (21.5-inch Mid 2010)\\n\\n
\\nIntel Core i5-680 3600 MHz\\n(2 cores)\\n
\\n
\\n2493\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Late 2014)\\n\\n
\\nIntel Core i5-4260U 1400 MHz\\n(2 cores)\\n
\\n
\\n2492\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Early 2011)\\n\\n
\\nIntel Core i7-2820QM 2300 MHz\\n(4 cores)\\n
\\n
\\n2484\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (21.5-inch Mid 2014)\\n\\n
\\nIntel Core i5-4260U 1400 MHz\\n(2 cores)\\n
\\n
\\n2481\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Late 2012)\\n\\n
\\nIntel Core i5-3210M 2500 MHz\\n(2 cores)\\n
\\n
\\n2478\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (21.5-inch Mid 2011)\\n\\n
\\nIntel Core i5-2400S 2500 MHz\\n(4 cores)\\n
\\n
\\n2470\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (17-inch Early 2011)\\n\\n
\\nIntel Core i7-2720QM 2200 MHz\\n(4 cores)\\n
\\n
\\n2459\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Early 2011)\\n\\n
\\nIntel Core i7-2620M 2700 MHz\\n(2 cores)\\n
\\n
\\n2458\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Retina)\\n\\n
\\nIntel Core i5-3210M 2500 MHz\\n(2 cores)\\n
\\n
\\n2435\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Mid 2012)\\n\\n
\\nIntel Xeon X5675 3070 MHz\\n(12 cores)\\n
\\n
\\n2397\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (11-inch Early 2014)\\n\\n
\\nIntel Core i5-4260U 1400 MHz\\n(2 cores)\\n
\\n
\\n2393\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (13-inch Early 2014)\\n\\n
\\nIntel Core i5-4260U 1400 MHz\\n(2 cores)\\n
\\n
\\n2380\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Mid 2011)\\n\\n
\\nIntel Core i5-2520M 2500 MHz\\n(2 cores)\\n
\\n
\\n2377\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Early 2011)\\n\\n
\\nIntel Core i7-2720QM 2200 MHz\\n(4 cores)\\n
\\n
\\n2372\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook (Early 2015)\\n\\n
\\nIntel Core M-5Y71 1300 MHz\\n(2 cores)\\n
\\n
\\n2331\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (11-inch Mid 2013)\\n\\n
\\nIntel Core i5-4250U 1300 MHz\\n(2 cores)\\n
\\n
\\n2330\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (13-inch Mid 2013)\\n\\n
\\nIntel Core i5-4250U 1300 MHz\\n(2 cores)\\n
\\n
\\n2322\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Late 2011)\\n\\n
\\nIntel Core i7-2675QM 2200 MHz\\n(4 cores)\\n
\\n
\\n2321\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Mid 2010)\\n\\n
\\nIntel Xeon X5670 2930 MHz\\n(12 cores)\\n
\\n
\\n2302\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Early 2009)\\n\\n
\\nIntel Xeon W5590 3330 MHz\\n(4 cores)\\n
\\n
\\n2295\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (13-inch Mid 2012)\\n\\n
\\nIntel Core i5-3427U 1800 MHz\\n(2 cores)\\n
\\n
\\n2263\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Late 2011)\\n\\n
\\nIntel Core i5-2435M 2400 MHz\\n(2 cores)\\n
\\n
\\n2222\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Mid 2010)\\n\\n
\\nIntel Xeon W3565 3200 MHz\\n(4 cores)\\n
\\n
\\n2201\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Mid 2011)\\n\\n
\\nIntel Core i7-2635QM 2000 MHz\\n(4 cores)\\n
\\n
\\n2200\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (21.5 inch Late 2011)\\n\\n
\\nIntel Core i3-2100 3100 MHz\\n(2 cores)\\n
\\n
\\n2192\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (27-inch Mid 2010)\\n\\n
\\nIntel Core i7-870 2930 MHz\\n(4 cores)\\n
\\n
\\n2190\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Mid 2011)\\n\\n
\\nIntel Core i5-2415M 2300 MHz\\n(2 cores)\\n
\\n
\\n2179\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook (Early 2015)\\n\\n
\\nIntel Core M-5Y51 1200 MHz\\n(2 cores)\\n
\\n
\\n2175\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Mid 2010)\\n\\n
\\nIntel Xeon X5650 2670 MHz\\n(12 cores)\\n
\\n
\\n2147\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Early 2011)\\n\\n
\\nIntel Core i7-2635QM 2000 MHz\\n(4 cores)\\n
\\n
\\n2146\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (11-inch Mid 2012)\\n\\n
\\nIntel Core i5-3317U 1700 MHz\\n(2 cores)\\n
\\n
\\n2145\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Early 2011)\\n\\n
\\nIntel Core i5-2415M 2300 MHz\\n(2 cores)\\n
\\n
\\n2142\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Early 2010)\\n\\n
\\nIntel Core i7-640M 2800 MHz\\n(2 cores)\\n
\\n
\\n2129\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (11-inch Mid 2011)\\n\\n
\\nIntel Core i7-2677M 1800 MHz\\n(2 cores)\\n
\\n
\\n2128\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Early 2009)\\n\\n
\\nIntel Xeon X5570 2930 MHz\\n(8 cores)\\n
\\n
\\n2124\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (17-inch Early 2010)\\n\\n
\\nIntel Core i7-640M 2800 MHz\\n(2 cores)\\n
\\n
\\n2122\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook (Early 2015)\\n\\n
\\nIntel Core M-5Y31 1100 MHz\\n(2 cores)\\n
\\n
\\n2112\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (27-inch Mid 2010)\\n\\n
\\nIntel Core i5-760 2800 MHz\\n(4 cores)\\n
\\n
\\n2075\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (27-inch Late 2009)\\n\\n
\\nIntel Core i7-860 2800 MHz\\n(4 cores)\\n
\\n
\\n2070\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Early 2009)\\n\\n
\\nIntel Xeon W3540 2930 MHz\\n(4 cores)\\n
\\n
\\n2070\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Early 2010)\\n\\n
\\nIntel Core i7-620M 2670 MHz\\n(2 cores)\\n
\\n
\\n2045\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (17-inch Early 2010)\\n\\n
\\nIntel Core i7-620M 2670 MHz\\n(2 cores)\\n
\\n
\\n2030\\n\\n
\\n \\n
\\n
\\n
\\n\\nXserve (Early 2009)\\n\\n
\\nIntel Xeon X5570 2930 MHz\\n(8 cores)\\n
\\n
\\n2015\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (13-inch Mid 2011)\\n\\n
\\nIntel Core i5-2557M 1700 MHz\\n(2 cores)\\n
\\n
\\n1995\\n\\n
\\n \\n
\\n
\\n
\\n\\nXserve (Early 2009)\\n\\n
\\nIntel Xeon X5550 2670 MHz\\n(8 cores)\\n
\\n
\\n1993\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Mid 2010)\\n\\n
\\nIntel Xeon W3530 2800 MHz\\n(4 cores)\\n
\\n
\\n1992\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (27-inch Late 2009)\\n\\n
\\nIntel Core i5-750 2670 MHz\\n(4 cores)\\n
\\n
\\n1971\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Early 2009)\\n\\n
\\nIntel Xeon X5550 2670 MHz\\n(8 cores)\\n
\\n
\\n1969\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (27-inch Mid 2010)\\n\\n
\\nIntel Core i3-550 3200 MHz\\n(2 cores)\\n
\\n
\\n1964\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (21.5-inch Mid 2010)\\n\\n
\\nIntel Core i3-550 3200 MHz\\n(2 cores)\\n
\\n
\\n1957\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (13-inch Mid 2011)\\n\\n
\\nIntel Core i7-2677M 1800 MHz\\n(2 cores)\\n
\\n
\\n1949\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Mid 2012)\\n\\n
\\nIntel Xeon E5645 2400 MHz\\n(12 cores)\\n
\\n
\\n1935\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Early 2009)\\n\\n
\\nIntel Xeon W3520 2670 MHz\\n(4 cores)\\n
\\n
\\n1921\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (21.5-inch Mid 2010)\\n\\n
\\nIntel Core i3-540 3070 MHz\\n(2 cores)\\n
\\n
\\n1899\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Mid 2010)\\n\\n
\\nIntel Xeon E5620 2400 MHz\\n(8 cores)\\n
\\n
\\n1881\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (17-inch Early 2010)\\n\\n
\\nIntel Core i5-540M 2530 MHz\\n(2 cores)\\n
\\n
\\n1860\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Early 2010)\\n\\n
\\nIntel Core i5-540M 2530 MHz\\n(2 cores)\\n
\\n
\\n1859\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (Late 2009)\\n\\n
\\nIntel Core 2 Duo E8600 3330 MHz\\n(2 cores)\\n
\\n
\\n1813\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Early 2010)\\n\\n
\\nIntel Core i5-520M 2400 MHz\\n(2 cores)\\n
\\n
\\n1810\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (11-inch Mid 2011)\\n\\n
\\nIntel Core i5-2467M 1601 MHz\\n(2 cores)\\n
\\n
\\n1755\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Early 2008)\\n\\n
\\nIntel Xeon X5482 3200 MHz\\n(8 cores)\\n
\\n
\\n1734\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Early 2009)\\n\\n
\\nIntel Xeon E5520 2270 MHz\\n(8 cores)\\n
\\n
\\n1678\\n\\n
\\n \\n
\\n
\\n
\\n\\nXserve (Early 2009)\\n\\n
\\nIntel Xeon E5520 2270 MHz\\n(8 cores)\\n
\\n
\\n1671\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (Early 2008)\\n\\n
\\nIntel Core 2 Duo E8435 3060 MHz\\n(2 cores)\\n
\\n
\\n1657\\n\\n
\\n \\n
\\n
\\n
\\n\\nXserve (Early 2009)\\n\\n
\\nIntel Xeon E5520 2270 MHz\\n(4 cores)\\n
\\n
\\n1647\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (Early 2009)\\n\\n
\\nIntel Core 2 Duo E8435 3060 MHz\\n(2 cores)\\n
\\n
\\n1640\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Early 2008)\\n\\n
\\nIntel Xeon X5472 3000 MHz\\n(8 cores)\\n
\\n
\\n1632\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (Late 2009)\\n\\n
\\nIntel Core 2 Duo E7600 3060 MHz\\n(2 cores)\\n
\\n
\\n1632\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Mid 2009)\\n\\n
\\nIntel Core 2 Duo T9900 3060 MHz\\n(2 cores)\\n
\\n
\\n1628\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Early 2008)\\n\\n
\\nIntel Xeon E5472 3000 MHz\\n(8 cores)\\n
\\n
\\n1616\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (17-inch Mid 2009)\\n\\n
\\nIntel Core 2 Duo T9900 3060 MHz\\n(2 cores)\\n
\\n
\\n1607\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (Early 2009)\\n\\n
\\nIntel Core 2 Duo E8335 2930 MHz\\n(2 cores)\\n
\\n
\\n1584\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro\\n\\n
\\nIntel Xeon 5160 3000 MHz\\n(4 cores)\\n
\\n
\\n1564\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (8-core)\\n\\n
\\nIntel Xeon X5365 3000 MHz\\n(8 cores)\\n
\\n
\\n1560\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (17-inch Early 2009)\\n\\n
\\nIntel Core 2 Duo T9800 2930 MHz\\n(2 cores)\\n
\\n
\\n1553\\n\\n
\\n \\n
\\n
\\n
\\n\\nXserve (Late 2006)\\n\\n
\\nIntel Xeon 5160 3000 MHz\\n(4 cores)\\n
\\n
\\n1546\\n\\n
\\n \\n
\\n
\\n
\\n\\nXserve (Early 2008)\\n\\n
\\nIntel Xeon E5462 2800 MHz\\n(8 cores)\\n
\\n
\\n1540\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Early 2008)\\n\\n
\\nIntel Xeon E5462 2800 MHz\\n(8 cores)\\n
\\n
\\n1535\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (Early 2008)\\n\\n
\\nIntel Core 2 Duo E8235 2800 MHz\\n(2 cores)\\n
\\n
\\n1534\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Early 2008)\\n\\n
\\nIntel Xeon E5462 2800 MHz\\n(4 cores)\\n
\\n
\\n1531\\n\\n
\\n \\n
\\n
\\n
\\n\\nXserve (Early 2008)\\n\\n
\\nIntel Xeon E5462 2800 MHz\\n(4 cores)\\n
\\n
\\n1523\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (Late 2008)\\n\\n
\\nIntel Core 2 Duo T9800 2930 MHz\\n(2 cores)\\n
\\n
\\n1519\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Mid 2009)\\n\\n
\\nIntel Core 2 Duo T9600 2800 MHz\\n(2 cores)\\n
\\n
\\n1507\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (17-inch Mid 2009)\\n\\n
\\nIntel Core 2 Duo T9600 2800 MHz\\n(2 cores)\\n
\\n
\\n1491\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (Late 2008)\\n\\n
\\nIntel Core 2 Duo T9600 2800 MHz\\n(2 cores)\\n
\\n
\\n1479\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (Early 2009)\\n\\n
\\nIntel Core 2 Duo E8135 2660 MHz\\n(2 cores)\\n
\\n
\\n1463\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (Mid 2007)\\n\\n
\\nIntel Core 2 Extreme X7900 2800 MHz\\n(2 cores)\\n
\\n
\\n1463\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Mid 2009)\\n\\n
\\nIntel Core 2 Duo P8800 2660 MHz\\n(2 cores)\\n
\\n
\\n1436\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (Late 2008)\\n\\n
\\nIntel Core 2 Duo T9550 2660 MHz\\n(2 cores)\\n
\\n
\\n1433\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (17-inch Early 2009)\\n\\n
\\nIntel Core 2 Duo T9550 2660 MHz\\n(2 cores)\\n
\\n
\\n1433\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Early 2010)\\n\\n
\\nIntel Core 2 Duo P8800 2660 MHz\\n(2 cores)\\n
\\n
\\n1432\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Late 2009)\\n\\n
\\nIntel Core 2 Duo P8800 2660 MHz\\n(2 cores)\\n
\\n
\\n1417\\n\\n
\\n \\n
\\n
\\n
\\n\\nXserve (Late 2006)\\n\\n
\\nIntel Xeon 5150 2660 MHz\\n(4 cores)\\n
\\n
\\n1406\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro\\n\\n
\\nIntel Xeon 5150 2660 MHz\\n(4 cores)\\n
\\n
\\n1406\\n\\n
\\n \\n
\\n
\\n
\\n\\nXserve (Early 2008)\\n\\n
\\nIntel Xeon E5472 3000 MHz\\n(8 cores)\\n
\\n
\\n1397\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Late 2009)\\n\\n
\\nIntel Core 2 Duo P8700 2530 MHz\\n(2 cores)\\n
\\n
\\n1379\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Early 2010)\\n\\n
\\nIntel Core 2 Duo P8800 2660 MHz\\n(2 cores)\\n
\\n
\\n1375\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Mid 2009)\\n\\n
\\nIntel Core 2 Duo P8700 2530 MHz\\n(2 cores)\\n
\\n
\\n1369\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (Late 2008)\\n\\n
\\nIntel Core 2 Duo T9400 2530 MHz\\n(2 cores)\\n
\\n
\\n1367\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Mid 2009)\\n\\n
\\nIntel Core 2 Duo P8700 2530 MHz\\n(2 cores)\\n
\\n
\\n1366\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (Early 2008)\\n\\n
\\nIntel Core 2 Duo T9500 2600 MHz\\n(2 cores)\\n
\\n
\\n1331\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook (Mid 2010)\\n\\n
\\nIntel Core 2 Duo P8600 2400 MHz\\n(2 cores)\\n
\\n
\\n1313\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Early 2010)\\n\\n
\\nIntel Core 2 Duo P8600 2400 MHz\\n(2 cores)\\n
\\n
\\n1306\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Early 2010)\\n\\n
\\nIntel Core 2 Duo P8600 2400 MHz\\n(2 cores)\\n
\\n
\\n1298\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook (Late 2008)\\n\\n
\\nIntel Core 2 Duo P8600 2400 MHz\\n(2 cores)\\n
\\n
\\n1294\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (Late 2008)\\n\\n
\\nIntel Core 2 Duo P8600 2400 MHz\\n(2 cores)\\n
\\n
\\n1292\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (Mid 2007)\\n\\n
\\nIntel Core 2 Duo T7700 2400 MHz\\n(2 cores)\\n
\\n
\\n1287\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (Mid 2009)\\n\\n
\\nIntel Core 2 Duo P7550 2260 MHz\\n(2 cores)\\n
\\n
\\n1275\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (Early 2008)\\n\\n
\\nIntel Core 2 Duo T9300 2500 MHz\\n(2 cores)\\n
\\n
\\n1265\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Early 2009)\\n\\n
\\nIntel Core 2 Duo P8400 2260 MHz\\n(2 cores)\\n
\\n
\\n1259\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Late 2009)\\n\\n
\\nIntel Core 2 Duo P7550 2260 MHz\\n(2 cores)\\n
\\n
\\n1254\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Mid 2009)\\n\\n
\\nIntel Core 2 Duo P8400 2260 MHz\\n(2 cores)\\n
\\n
\\n1247\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook (Late 2009)\\n\\n
\\nIntel Core 2 Duo P7550 2260 MHz\\n(2 cores)\\n
\\n
\\n1243\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Mid 2009)\\n\\n
\\nIntel Core 2 Duo P7550 2260 MHz\\n(2 cores)\\n
\\n
\\n1242\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (Late 2006)\\n\\n
\\nIntel Core 2 Duo T7600 2330 MHz\\n(2 cores)\\n
\\n
\\n1239\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (24-inch)\\n\\n
\\nIntel Core 2 Duo T7600 2330 MHz\\n(2 cores)\\n
\\n
\\n1235\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (Mid 2007)\\n\\n
\\nIntel Core 2 Duo T7800 2600 MHz\\n(2 cores)\\n
\\n
\\n1215\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (Early 2008)\\n\\n
\\nIntel Core 2 Duo T8300 2400 MHz\\n(2 cores)\\n
\\n
\\n1198\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook (Early 2008)\\n\\n
\\nIntel Core 2 Duo T8300 2400 MHz\\n(2 cores)\\n
\\n
\\n1191\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (13-inch Late 2010)\\n\\n
\\nIntel Core 2 Duo L9600 2130 MHz\\n(2 cores)\\n
\\n
\\n1184\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (Late 2006)\\n\\n
\\nIntel Core 2 Duo T7400 2160 MHz\\n(2 cores)\\n
\\n
\\n1153\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (24-inch)\\n\\n
\\nIntel Core 2 Duo T7400 2160 MHz\\n(2 cores)\\n
\\n
\\n1152\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (Mid 2009)\\n\\n
\\nIntel Core 2 Duo P7350 2000 MHz\\n(2 cores)\\n
\\n
\\n1142\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook (Early 2009)\\n\\n
\\nIntel Core 2 Duo P7450 2130 MHz\\n(2 cores)\\n
\\n
\\n1137\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Early 2009)\\n\\n
\\nIntel Core 2 Duo P7350 2000 MHz\\n(2 cores)\\n
\\n
\\n1123\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook (Late 2008)\\n\\n
\\nIntel Core 2 Duo P7350 2000 MHz\\n(2 cores)\\n
\\n
\\n1114\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (Mid 2007)\\n\\n
\\nIntel Core 2 Duo T7700 2400 MHz\\n(2 cores)\\n
\\n
\\n1096\\n\\n
\\n \\n
\\n
\\n
\\n\\nXserve (Late 2006)\\n\\n
\\nIntel Xeon 5130 2000 MHz\\n(4 cores)\\n
\\n
\\n1094\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (Mid 2007)\\n\\n
\\nIntel Core 2 Duo T7300 2000 MHz\\n(2 cores)\\n
\\n
\\n1092\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro\\n\\n
\\nIntel Xeon 5130 2000 MHz\\n(4 cores)\\n
\\n
\\n1091\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (Late 2006)\\n\\n
\\nIntel Core 2 Duo T7200 2000 MHz\\n(2 cores)\\n
\\n
\\n1076\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook (Late 2007)\\n\\n
\\nIntel Core 2 Duo T7500 2200 MHz\\n(2 cores)\\n
\\n
\\n1074\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Mid 2007)\\n\\n
\\nIntel Core 2 Duo T7200 2000 MHz\\n(2 cores)\\n
\\n
\\n1070\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook (Mid 2007)\\n\\n
\\nIntel Core 2 Duo T7400 2160 MHz\\n(2 cores)\\n
\\n
\\n1070\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (Core 2 Duo)\\n\\n
\\nIntel Core 2 Duo T7600 2330 MHz\\n(2 cores)\\n
\\n
\\n1068\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook (Early 2008)\\n\\n
\\nIntel Core 2 Duo T8100 2100 MHz\\n(2 cores)\\n
\\n
\\n1063\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook (Early 2009)\\n\\n
\\nIntel Core 2 Duo P7350 2000 MHz\\n(2 cores)\\n
\\n
\\n1062\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (17-inch Core 2 Duo)\\n\\n
\\nIntel Core 2 Duo T7600 2330 MHz\\n(2 cores)\\n
\\n
\\n1048\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (13-inch Late 2010)\\n\\n
\\nIntel Core 2 Duo L9400 1860 MHz\\n(2 cores)\\n
\\n
\\n1047\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (Mid 2007)\\n\\n
\\nIntel Core 2 Duo T7500 2200 MHz\\n(2 cores)\\n
\\n
\\n1040\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (Core 2 Duo)\\n\\n
\\nIntel Core 2 Duo T7400 2160 MHz\\n(2 cores)\\n
\\n
\\n1008\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook (Late 2007)\\n\\n
\\nIntel Core 2 Duo T7300 2000 MHz\\n(2 cores)\\n
\\n
\\n994\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (17-inch Late 2006 CD)\\n\\n
\\nIntel Core 2 Duo T5600 1830 MHz\\n(2 cores)\\n
\\n
\\n987\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Mid 2007)\\n\\n
\\nIntel Core 2 Duo T5600 1830 MHz\\n(2 cores)\\n
\\n
\\n980\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook (Late 2006)\\n\\n
\\nIntel Core 2 Duo T7200 2000 MHz\\n(2 cores)\\n
\\n
\\n979\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (Mid 2009)\\n\\n
\\nIntel Core 2 Duo L9600 2130 MHz\\n(2 cores)\\n
\\n
\\n968\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (Late 2008)\\n\\n
\\nIntel Core 2 Duo L9300 1600 MHz\\n(2 cores)\\n
\\n
\\n912\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (Late 2008)\\n\\n
\\nIntel Core 2 Duo L9400 1860 MHz\\n(2 cores)\\n
\\n
\\n904\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook (Late 2006)\\n\\n
\\nIntel Core 2 Duo T5600 1830 MHz\\n(2 cores)\\n
\\n
\\n902\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (11-inch Late 2010)\\n\\n
\\nIntel Core 2 Duo U9600 1600 MHz\\n(2 cores)\\n
\\n
\\n889\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air\\n\\n
\\nIntel Core 2 Duo P7700 1800 MHz\\n(2 cores)\\n
\\n
\\n808\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (11-inch Late 2010)\\n\\n
\\nIntel Core 2 Duo U9400 1400 MHz\\n(2 cores)\\n
\\n
\\n796\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air\\n\\n
\\nIntel Core 2 Duo P7500 1600 MHz\\n(2 cores)\\n
\\n
\\n766\\n\\n
\\n \\n
\\n
\\n\\n
\\n
\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n
MacScore
\\n
\\n\\nMac Pro (Late 2013)\\n\\n
\\nIntel Xeon E5-2697 v2 2700 MHz\\n(12 cores)\\n
\\n
\\n28919\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Mid 2012)\\n\\n
\\nIntel Xeon X5675 3070 MHz\\n(12 cores)\\n
\\n
\\n24975\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Mid 2010)\\n\\n
\\nIntel Xeon X5670 2930 MHz\\n(12 cores)\\n
\\n
\\n23997\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Late 2013)\\n\\n
\\nIntel Xeon E5-1680 v2 3000 MHz\\n(8 cores)\\n
\\n
\\n22684\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Mid 2010)\\n\\n
\\nIntel Xeon X5650 2670 MHz\\n(12 cores)\\n
\\n
\\n22534\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Mid 2012)\\n\\n
\\nIntel Xeon E5645 2400 MHz\\n(12 cores)\\n
\\n
\\n19990\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Late 2013)\\n\\n
\\nIntel Xeon E5-1650 v2 3500 MHz\\n(6 cores)\\n
\\n
\\n18179\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Early 2009)\\n\\n
\\nIntel Xeon X5570 2930 MHz\\n(8 cores)\\n
\\n
\\n15770\\n\\n
\\n \\n
\\n
\\n
\\n\\nXserve (Early 2009)\\n\\n
\\nIntel Xeon X5570 2930 MHz\\n(8 cores)\\n
\\n
\\n15181\\n\\n
\\n \\n
\\n
\\n
\\n\\nXserve (Early 2009)\\n\\n
\\nIntel Xeon X5550 2670 MHz\\n(8 cores)\\n
\\n
\\n14731\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Early 2009)\\n\\n
\\nIntel Xeon X5550 2670 MHz\\n(8 cores)\\n
\\n
\\n14614\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (27-inch Retina)\\n\\n
\\nIntel Core i7-4790K 4000 MHz\\n(4 cores)\\n
\\n
\\n14562\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Mid 2010)\\n\\n
\\nIntel Xeon W3680 3330 MHz\\n(6 cores)\\n
\\n
\\n13956\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Mid 2010)\\n\\n
\\nIntel Xeon E5620 2400 MHz\\n(8 cores)\\n
\\n
\\n13935\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (27-inch Late 2013)\\n\\n
\\nIntel Core i7-4771 3500 MHz\\n(4 cores)\\n
\\n
\\n13079\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Retina Mid 2014)\\n\\n
\\nIntel Core i7-4980HQ 2800 MHz\\n(4 cores)\\n
\\n
\\n12874\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Retina Mid 2015)\\n\\n
\\nIntel Core i7-4980HQ 2800 MHz\\n(4 cores)\\n
\\n
\\n12776\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Late 2013)\\n\\n
\\nIntel Xeon E5-1620 v2 3700 MHz\\n(4 cores)\\n
\\n
\\n12750\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (21.5-inch Late 2013)\\n\\n
\\nIntel Core i7-4770S 3100 MHz\\n(4 cores)\\n
\\n
\\n12532\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Retina Late 2013)\\n\\n
\\nIntel Core i7-4960HQ 2600 MHz\\n(4 cores)\\n
\\n
\\n12518\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Retina Mid 2015)\\n\\n
\\nIntel Core i7-4870HQ 2500 MHz\\n(4 cores)\\n
\\n
\\n12262\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Early 2009)\\n\\n
\\nIntel Xeon E5520 2270 MHz\\n(8 cores)\\n
\\n
\\n12240\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Retina Mid 2014)\\n\\n
\\nIntel Core i7-4870HQ 2500 MHz\\n(4 cores)\\n
\\n
\\n12227\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (27-inch Late 2012)\\n\\n
\\nIntel Core i7-3770 3400 MHz\\n(4 cores)\\n
\\n
\\n12224\\n\\n
\\n \\n
\\n
\\n
\\n\\nXserve (Early 2009)\\n\\n
\\nIntel Xeon E5520 2270 MHz\\n(8 cores)\\n
\\n
\\n12206\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Early 2008)\\n\\n
\\nIntel Xeon X5482 3200 MHz\\n(8 cores)\\n
\\n
\\n11797\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Retina Late 2013)\\n\\n
\\nIntel Core i7-4850HQ 2300 MHz\\n(4 cores)\\n
\\n
\\n11723\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (21.5-inch Late 2012)\\n\\n
\\nIntel Core i7-3770S 3100 MHz\\n(4 cores)\\n
\\n
\\n11709\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Retina Early 2013)\\n\\n
\\nIntel Core i7-3840QM 2800 MHz\\n(4 cores)\\n
\\n
\\n11627\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Mid 2012)\\n\\n
\\nIntel Core i7-3820QM 2700 MHz\\n(4 cores)\\n
\\n
\\n11624\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Retina Mid 2015)\\n\\n
\\nIntel Core i7-4770HQ 2200 MHz\\n(4 cores)\\n
\\n
\\n11477\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Retina Mid 2014)\\n\\n
\\nIntel Core i7-4770HQ 2200 MHz\\n(4 cores)\\n
\\n
\\n11405\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Retina Early 2013)\\n\\n
\\nIntel Core i7-3740QM 2700 MHz\\n(4 cores)\\n
\\n
\\n11401\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Mid 2012)\\n\\n
\\nIntel Core i7-3720QM 2600 MHz\\n(4 cores)\\n
\\n
\\n11312\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Late 2012)\\n\\n
\\nIntel Core i7-3720QM 2600 MHz\\n(4 cores)\\n
\\n
\\n11288\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Early 2008)\\n\\n
\\nIntel Xeon X5472 3000 MHz\\n(8 cores)\\n
\\n
\\n11057\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Early 2008)\\n\\n
\\nIntel Xeon E5472 3000 MHz\\n(8 cores)\\n
\\n
\\n11037\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (Retina)\\n\\n
\\nIntel Core i7-3720QM 2600 MHz\\n(4 cores)\\n
\\n
\\n10967\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (27-inch Retina)\\n\\n
\\nIntel Core i5-4690 3500 MHz\\n(4 cores)\\n
\\n
\\n10957\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (Retina)\\n\\n
\\nIntel Core i7-3820QM 2700 MHz\\n(4 cores)\\n
\\n
\\n10692\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Retina Early 2013)\\n\\n
\\nIntel Core i7-3635QM 2400 MHz\\n(4 cores)\\n
\\n
\\n10687\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (27-inch Late 2013)\\n\\n
\\nIntel Core i5-4670 3400 MHz\\n(4 cores)\\n
\\n
\\n10677\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Retina Late 2013)\\n\\n
\\nIntel Core i7-4750HQ 2000 MHz\\n(4 cores)\\n
\\n
\\n10675\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (27-inch Mid 2011)\\n\\n
\\nIntel Core i7-2600 3400 MHz\\n(4 cores)\\n
\\n
\\n10655\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (8-core)\\n\\n
\\nIntel Xeon X5365 3000 MHz\\n(8 cores)\\n
\\n
\\n10525\\n\\n
\\n \\n
\\n
\\n
\\n\\nXserve (Early 2008)\\n\\n
\\nIntel Xeon E5462 2800 MHz\\n(8 cores)\\n
\\n
\\n10510\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Mid 2012)\\n\\n
\\nIntel Core i7-3615QM 2300 MHz\\n(4 cores)\\n
\\n
\\n10507\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Early 2008)\\n\\n
\\nIntel Xeon E5462 2800 MHz\\n(8 cores)\\n
\\n
\\n10407\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Late 2012)\\n\\n
\\nIntel Core i7-3615QM 2300 MHz\\n(4 cores)\\n
\\n
\\n10397\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (Retina)\\n\\n
\\nIntel Core i7-3615QM 2300 MHz\\n(4 cores)\\n
\\n
\\n10261\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (27-inch Late 2013)\\n\\n
\\nIntel Core i5-4570 3200 MHz\\n(4 cores)\\n
\\n
\\n10136\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (17-inch Late 2011)\\n\\n
\\nIntel Core i7-2860QM 2500 MHz\\n(4 cores)\\n
\\n
\\n9682\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (21.5-inch Late 2013)\\n\\n
\\nIntel Core i5-4570S 2900 MHz\\n(4 cores)\\n
\\n
\\n9663\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Late 2011)\\n\\n
\\nIntel Core i7-2860QM 2500 MHz\\n(4 cores)\\n
\\n
\\n9539\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (27-inch Late 2012)\\n\\n
\\nIntel Core i5-3470 3200 MHz\\n(4 cores)\\n
\\n
\\n9285\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (17-inch Late 2011)\\n\\n
\\nIntel Core i7-2760QM 2400 MHz\\n(4 cores)\\n
\\n
\\n9283\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Late 2011)\\n\\n
\\nIntel Core i7-2760QM 2400 MHz\\n(4 cores)\\n
\\n
\\n9246\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (21.5-inch Late 2013)\\n\\n
\\nIntel Core i5-4570R 2700 MHz\\n(4 cores)\\n
\\n
\\n9144\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (21.5-inch Mid 2011)\\n\\n
\\nIntel Core i7-2600S 2800 MHz\\n(4 cores)\\n
\\n
\\n9105\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (17-inch Early 2011)\\n\\n
\\nIntel Core i7-2820QM 2300 MHz\\n(4 cores)\\n
\\n
\\n9046\\n\\n
\\n \\n
\\n
\\n
\\n\\nXserve (Early 2008)\\n\\n
\\nIntel Xeon E5472 3000 MHz\\n(8 cores)\\n
\\n
\\n9014\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (21.5-inch Late 2012)\\n\\n
\\nIntel Core i5-3470S 2900 MHz\\n(4 cores)\\n
\\n
\\n8933\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (27-inch Late 2012)\\n\\n
\\nIntel Core i5-3470S 2900 MHz\\n(4 cores)\\n
\\n
\\n8859\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Early 2011)\\n\\n
\\nIntel Core i7-2820QM 2300 MHz\\n(4 cores)\\n
\\n
\\n8806\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Early 2009)\\n\\n
\\nIntel Xeon W5590 3330 MHz\\n(4 cores)\\n
\\n
\\n8795\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (17-inch Early 2011)\\n\\n
\\nIntel Core i7-2720QM 2200 MHz\\n(4 cores)\\n
\\n
\\n8775\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Mid 2010)\\n\\n
\\nIntel Xeon W3565 3200 MHz\\n(4 cores)\\n
\\n
\\n8431\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Early 2011)\\n\\n
\\nIntel Core i7-2720QM 2200 MHz\\n(4 cores)\\n
\\n
\\n8422\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Late 2011)\\n\\n
\\nIntel Core i7-2675QM 2200 MHz\\n(4 cores)\\n
\\n
\\n8393\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (27-inch Mid 2011)\\n\\n
\\nIntel Core i5-2400 3100 MHz\\n(4 cores)\\n
\\n
\\n7966\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (21.5-inch Late 2012)\\n\\n
\\nIntel Core i5-3335S 2700 MHz\\n(4 cores)\\n
\\n
\\n7921\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Early 2009)\\n\\n
\\nIntel Xeon W3540 2930 MHz\\n(4 cores)\\n
\\n
\\n7807\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (27-inch Mid 2010)\\n\\n
\\nIntel Core i7-870 2930 MHz\\n(4 cores)\\n
\\n
\\n7806\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Mid 2011)\\n\\n
\\nIntel Core i7-2635QM 2000 MHz\\n(4 cores)\\n
\\n
\\n7785\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Early 2011)\\n\\n
\\nIntel Core i7-2635QM 2000 MHz\\n(4 cores)\\n
\\n
\\n7740\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Mid 2010)\\n\\n
\\nIntel Xeon W3530 2800 MHz\\n(4 cores)\\n
\\n
\\n7501\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (27-inch Late 2009)\\n\\n
\\nIntel Core i7-860 2800 MHz\\n(4 cores)\\n
\\n
\\n7217\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Early 2009)\\n\\n
\\nIntel Xeon W3520 2670 MHz\\n(4 cores)\\n
\\n
\\n7171\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (21.5-inch Mid 2011)\\n\\n
\\nIntel Core i5-2500S 2700 MHz\\n(4 cores)\\n
\\n
\\n7119\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (27-inch Mid 2011)\\n\\n
\\nIntel Core i5-2500S 2700 MHz\\n(4 cores)\\n
\\n
\\n7102\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (21.5-inch Mid 2011)\\n\\n
\\nIntel Core i5-2400S 2500 MHz\\n(4 cores)\\n
\\n
\\n6690\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Retina Early 2015)\\n\\n
\\nIntel Core i7-5557U 3100 MHz\\n(2 cores)\\n
\\n
\\n6474\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Late 2014)\\n\\n
\\nIntel Core i7-4578U 3000 MHz\\n(2 cores)\\n
\\n
\\n6380\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Retina Early 2015)\\n\\n
\\nIntel Core i5-5287U 2900 MHz\\n(2 cores)\\n
\\n
\\n6340\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Retina Mid 2014)\\n\\n
\\nIntel Core i7-4578U 3000 MHz\\n(2 cores)\\n
\\n
\\n6318\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Late 2014)\\n\\n
\\nIntel Core i5-4308U 2800 MHz\\n(2 cores)\\n
\\n
\\n6192\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (27-inch Mid 2010)\\n\\n
\\nIntel Core i5-760 2800 MHz\\n(4 cores)\\n
\\n
\\n6191\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Retina Mid 2014)\\n\\n
\\nIntel Core i5-4308U 2800 MHz\\n(2 cores)\\n
\\n
\\n6102\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (11-inch Early 2015)\\n\\n
\\nIntel Core i7-5650U 2200 MHz\\n(2 cores)\\n
\\n
\\n6071\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Retina Early 2015)\\n\\n
\\nIntel Core i5-5257U 2700 MHz\\n(2 cores)\\n
\\n
\\n6055\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Retina Late 2013)\\n\\n
\\nIntel Core i7-4558U 2800 MHz\\n(2 cores)\\n
\\n
\\n6009\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (13-inch Early 2015)\\n\\n
\\nIntel Core i7-5650U 2200 MHz\\n(2 cores)\\n
\\n
\\n6001\\n\\n
\\n \\n
\\n
\\n
\\n\\nXserve (Early 2009)\\n\\n
\\nIntel Xeon E5520 2270 MHz\\n(4 cores)\\n
\\n
\\n5955\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Mid 2012)\\n\\n
\\nIntel Core i7-3520M 2900 MHz\\n(2 cores)\\n
\\n
\\n5946\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Retina Early 2013)\\n\\n
\\nIntel Core i7-3540M 3000 MHz\\n(2 cores)\\n
\\n
\\n5928\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Late 2014)\\n\\n
\\nIntel Core i5-4278U 2600 MHz\\n(2 cores)\\n
\\n
\\n5856\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (27-inch Late 2009)\\n\\n
\\nIntel Core i5-750 2670 MHz\\n(4 cores)\\n
\\n
\\n5846\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Retina Mid 2014)\\n\\n
\\nIntel Core i5-4278U 2600 MHz\\n(2 cores)\\n
\\n
\\n5791\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Retina Late 2013)\\n\\n
\\nIntel Core i5-4288U 2600 MHz\\n(2 cores)\\n
\\n
\\n5778\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Retina)\\n\\n
\\nIntel Core i7-3520M 2900 MHz\\n(2 cores)\\n
\\n
\\n5769\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (11-inch Mid 2013)\\n\\n
\\nIntel Core i7-4650U 1700 MHz\\n(2 cores)\\n
\\n
\\n5478\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (13-inch Mid 2013)\\n\\n
\\nIntel Core i7-4650U 1700 MHz\\n(2 cores)\\n
\\n
\\n5459\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Retina Late 2013)\\n\\n
\\nIntel Core i5-4258U 2400 MHz\\n(2 cores)\\n
\\n
\\n5432\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro\\n\\n
\\nIntel Xeon 5160 3000 MHz\\n(4 cores)\\n
\\n
\\n5387\\n\\n
\\n \\n
\\n
\\n
\\n\\nXserve (Late 2006)\\n\\n
\\nIntel Xeon 5160 3000 MHz\\n(4 cores)\\n
\\n
\\n5308\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Early 2008)\\n\\n
\\nIntel Xeon E5462 2800 MHz\\n(4 cores)\\n
\\n
\\n5251\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (27-inch Mid 2010)\\n\\n
\\nIntel Core i5-680 3600 MHz\\n(2 cores)\\n
\\n
\\n5215\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (11-inch Mid 2012)\\n\\n
\\nIntel Core i7-3667U 2000 MHz\\n(2 cores)\\n
\\n
\\n5199\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (21.5-inch Mid 2010)\\n\\n
\\nIntel Core i5-680 3600 MHz\\n(2 cores)\\n
\\n
\\n5169\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (13-inch Mid 2012)\\n\\n
\\nIntel Core i7-3667U 2000 MHz\\n(2 cores)\\n
\\n
\\n5162\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Retina Early 2013)\\n\\n
\\nIntel Core i5-3230M 2600 MHz\\n(2 cores)\\n
\\n
\\n5142\\n\\n
\\n \\n
\\n
\\n
\\n\\nXserve (Early 2008)\\n\\n
\\nIntel Xeon E5462 2800 MHz\\n(4 cores)\\n
\\n
\\n5137\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Mid 2012)\\n\\n
\\nIntel Core i5-3210M 2500 MHz\\n(2 cores)\\n
\\n
\\n5097\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Mid 2011)\\n\\n
\\nIntel Core i7-2620M 2700 MHz\\n(2 cores)\\n
\\n
\\n5088\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Late 2012)\\n\\n
\\nIntel Core i5-3210M 2500 MHz\\n(2 cores)\\n
\\n
\\n5088\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Late 2011)\\n\\n
\\nIntel Core i7-2640M 2800 MHz\\n(2 cores)\\n
\\n
\\n5053\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (11-inch Early 2015)\\n\\n
\\nIntel Core i5-5250U 1600 MHz\\n(2 cores)\\n
\\n
\\n5026\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Retina)\\n\\n
\\nIntel Core i5-3210M 2500 MHz\\n(2 cores)\\n
\\n
\\n4983\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (13-inch Early 2015)\\n\\n
\\nIntel Core i5-5250U 1600 MHz\\n(2 cores)\\n
\\n
\\n4978\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Early 2011)\\n\\n
\\nIntel Core i7-2620M 2700 MHz\\n(2 cores)\\n
\\n
\\n4957\\n\\n
\\n \\n
\\n
\\n
\\n\\nXserve (Late 2006)\\n\\n
\\nIntel Xeon 5150 2660 MHz\\n(4 cores)\\n
\\n
\\n4854\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro\\n\\n
\\nIntel Xeon 5150 2660 MHz\\n(4 cores)\\n
\\n
\\n4832\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Mid 2011)\\n\\n
\\nIntel Core i5-2520M 2500 MHz\\n(2 cores)\\n
\\n
\\n4827\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Late 2014)\\n\\n
\\nIntel Core i5-4260U 1400 MHz\\n(2 cores)\\n
\\n
\\n4706\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (21.5-inch Mid 2014)\\n\\n
\\nIntel Core i5-4260U 1400 MHz\\n(2 cores)\\n
\\n
\\n4669\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (11-inch Early 2014)\\n\\n
\\nIntel Core i5-4260U 1400 MHz\\n(2 cores)\\n
\\n
\\n4644\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (13-inch Early 2014)\\n\\n
\\nIntel Core i5-4260U 1400 MHz\\n(2 cores)\\n
\\n
\\n4617\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook (Early 2015)\\n\\n
\\nIntel Core M-5Y71 1300 MHz\\n(2 cores)\\n
\\n
\\n4598\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (21.5 inch Late 2011)\\n\\n
\\nIntel Core i3-2100 3100 MHz\\n(2 cores)\\n
\\n
\\n4581\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (13-inch Mid 2012)\\n\\n
\\nIntel Core i5-3427U 1800 MHz\\n(2 cores)\\n
\\n
\\n4555\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Late 2011)\\n\\n
\\nIntel Core i5-2435M 2400 MHz\\n(2 cores)\\n
\\n
\\n4482\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (11-inch Mid 2013)\\n\\n
\\nIntel Core i5-4250U 1300 MHz\\n(2 cores)\\n
\\n
\\n4454\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (13-inch Mid 2013)\\n\\n
\\nIntel Core i5-4250U 1300 MHz\\n(2 cores)\\n
\\n
\\n4436\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Mid 2011)\\n\\n
\\nIntel Core i5-2415M 2300 MHz\\n(2 cores)\\n
\\n
\\n4406\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook (Early 2015)\\n\\n
\\nIntel Core M-5Y51 1200 MHz\\n(2 cores)\\n
\\n
\\n4391\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Early 2011)\\n\\n
\\nIntel Core i5-2415M 2300 MHz\\n(2 cores)\\n
\\n
\\n4313\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (11-inch Mid 2012)\\n\\n
\\nIntel Core i5-3317U 1700 MHz\\n(2 cores)\\n
\\n
\\n4283\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Early 2010)\\n\\n
\\nIntel Core i7-640M 2800 MHz\\n(2 cores)\\n
\\n
\\n4273\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (17-inch Early 2010)\\n\\n
\\nIntel Core i7-640M 2800 MHz\\n(2 cores)\\n
\\n
\\n4250\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (11-inch Mid 2011)\\n\\n
\\nIntel Core i7-2677M 1800 MHz\\n(2 cores)\\n
\\n
\\n4129\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Early 2010)\\n\\n
\\nIntel Core i7-620M 2670 MHz\\n(2 cores)\\n
\\n
\\n4094\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (17-inch Early 2010)\\n\\n
\\nIntel Core i7-620M 2670 MHz\\n(2 cores)\\n
\\n
\\n4084\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (27-inch Mid 2010)\\n\\n
\\nIntel Core i3-550 3200 MHz\\n(2 cores)\\n
\\n
\\n4080\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (21.5-inch Mid 2010)\\n\\n
\\nIntel Core i3-550 3200 MHz\\n(2 cores)\\n
\\n
\\n4063\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook (Early 2015)\\n\\n
\\nIntel Core M-5Y31 1100 MHz\\n(2 cores)\\n
\\n
\\n3977\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (21.5-inch Mid 2010)\\n\\n
\\nIntel Core i3-540 3070 MHz\\n(2 cores)\\n
\\n
\\n3948\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (13-inch Mid 2011)\\n\\n
\\nIntel Core i5-2557M 1700 MHz\\n(2 cores)\\n
\\n
\\n3835\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (13-inch Mid 2011)\\n\\n
\\nIntel Core i7-2677M 1800 MHz\\n(2 cores)\\n
\\n
\\n3768\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Early 2010)\\n\\n
\\nIntel Core i5-540M 2530 MHz\\n(2 cores)\\n
\\n
\\n3753\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (17-inch Early 2010)\\n\\n
\\nIntel Core i5-540M 2530 MHz\\n(2 cores)\\n
\\n
\\n3733\\n\\n
\\n \\n
\\n
\\n
\\n\\nXserve (Late 2006)\\n\\n
\\nIntel Xeon 5130 2000 MHz\\n(4 cores)\\n
\\n
\\n3691\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro\\n\\n
\\nIntel Xeon 5130 2000 MHz\\n(4 cores)\\n
\\n
\\n3661\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Early 2010)\\n\\n
\\nIntel Core i5-520M 2400 MHz\\n(2 cores)\\n
\\n
\\n3620\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (11-inch Mid 2011)\\n\\n
\\nIntel Core i5-2467M 1601 MHz\\n(2 cores)\\n
\\n
\\n3323\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (Late 2009)\\n\\n
\\nIntel Core 2 Duo E8600 3330 MHz\\n(2 cores)\\n
\\n
\\n3245\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (Early 2008)\\n\\n
\\nIntel Core 2 Duo E8435 3060 MHz\\n(2 cores)\\n
\\n
\\n2970\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (Early 2009)\\n\\n
\\nIntel Core 2 Duo E8435 3060 MHz\\n(2 cores)\\n
\\n
\\n2937\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (Late 2009)\\n\\n
\\nIntel Core 2 Duo E7600 3060 MHz\\n(2 cores)\\n
\\n
\\n2910\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Mid 2009)\\n\\n
\\nIntel Core 2 Duo T9900 3060 MHz\\n(2 cores)\\n
\\n
\\n2897\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (Early 2009)\\n\\n
\\nIntel Core 2 Duo E8335 2930 MHz\\n(2 cores)\\n
\\n
\\n2825\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (17-inch Mid 2009)\\n\\n
\\nIntel Core 2 Duo T9900 3060 MHz\\n(2 cores)\\n
\\n
\\n2818\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (17-inch Early 2009)\\n\\n
\\nIntel Core 2 Duo T9800 2930 MHz\\n(2 cores)\\n
\\n
\\n2749\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (Early 2008)\\n\\n
\\nIntel Core 2 Duo E8235 2800 MHz\\n(2 cores)\\n
\\n
\\n2734\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (Late 2008)\\n\\n
\\nIntel Core 2 Duo T9800 2930 MHz\\n(2 cores)\\n
\\n
\\n2726\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Mid 2009)\\n\\n
\\nIntel Core 2 Duo T9600 2800 MHz\\n(2 cores)\\n
\\n
\\n2676\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (Late 2008)\\n\\n
\\nIntel Core 2 Duo T9600 2800 MHz\\n(2 cores)\\n
\\n
\\n2614\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (17-inch Mid 2009)\\n\\n
\\nIntel Core 2 Duo T9600 2800 MHz\\n(2 cores)\\n
\\n
\\n2612\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (Mid 2007)\\n\\n
\\nIntel Core 2 Extreme X7900 2800 MHz\\n(2 cores)\\n
\\n
\\n2598\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (Early 2009)\\n\\n
\\nIntel Core 2 Duo E8135 2660 MHz\\n(2 cores)\\n
\\n
\\n2594\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (Late 2008)\\n\\n
\\nIntel Core 2 Duo T9550 2660 MHz\\n(2 cores)\\n
\\n
\\n2545\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Mid 2009)\\n\\n
\\nIntel Core 2 Duo P8800 2660 MHz\\n(2 cores)\\n
\\n
\\n2536\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (17-inch Early 2009)\\n\\n
\\nIntel Core 2 Duo T9550 2660 MHz\\n(2 cores)\\n
\\n
\\n2526\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Late 2009)\\n\\n
\\nIntel Core 2 Duo P8800 2660 MHz\\n(2 cores)\\n
\\n
\\n2490\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Early 2010)\\n\\n
\\nIntel Core 2 Duo P8800 2660 MHz\\n(2 cores)\\n
\\n
\\n2466\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Late 2009)\\n\\n
\\nIntel Core 2 Duo P8700 2530 MHz\\n(2 cores)\\n
\\n
\\n2433\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Mid 2009)\\n\\n
\\nIntel Core 2 Duo P8700 2530 MHz\\n(2 cores)\\n
\\n
\\n2413\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (Late 2008)\\n\\n
\\nIntel Core 2 Duo T9400 2530 MHz\\n(2 cores)\\n
\\n
\\n2412\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Mid 2009)\\n\\n
\\nIntel Core 2 Duo P8700 2530 MHz\\n(2 cores)\\n
\\n
\\n2411\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (Early 2008)\\n\\n
\\nIntel Core 2 Duo T9500 2600 MHz\\n(2 cores)\\n
\\n
\\n2353\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Early 2010)\\n\\n
\\nIntel Core 2 Duo P8800 2660 MHz\\n(2 cores)\\n
\\n
\\n2332\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (Mid 2007)\\n\\n
\\nIntel Core 2 Duo T7700 2400 MHz\\n(2 cores)\\n
\\n
\\n2278\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook (Late 2008)\\n\\n
\\nIntel Core 2 Duo P8600 2400 MHz\\n(2 cores)\\n
\\n
\\n2271\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (Late 2008)\\n\\n
\\nIntel Core 2 Duo P8600 2400 MHz\\n(2 cores)\\n
\\n
\\n2264\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook (Mid 2010)\\n\\n
\\nIntel Core 2 Duo P8600 2400 MHz\\n(2 cores)\\n
\\n
\\n2255\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (Early 2008)\\n\\n
\\nIntel Core 2 Duo T9300 2500 MHz\\n(2 cores)\\n
\\n
\\n2234\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Early 2010)\\n\\n
\\nIntel Core 2 Duo P8600 2400 MHz\\n(2 cores)\\n
\\n
\\n2233\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (Mid 2009)\\n\\n
\\nIntel Core 2 Duo P7550 2260 MHz\\n(2 cores)\\n
\\n
\\n2232\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Early 2009)\\n\\n
\\nIntel Core 2 Duo P8400 2260 MHz\\n(2 cores)\\n
\\n
\\n2219\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (Late 2006)\\n\\n
\\nIntel Core 2 Duo T7600 2330 MHz\\n(2 cores)\\n
\\n
\\n2207\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Late 2009)\\n\\n
\\nIntel Core 2 Duo P7550 2260 MHz\\n(2 cores)\\n
\\n
\\n2200\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Early 2010)\\n\\n
\\nIntel Core 2 Duo P8600 2400 MHz\\n(2 cores)\\n
\\n
\\n2199\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Mid 2009)\\n\\n
\\nIntel Core 2 Duo P8400 2260 MHz\\n(2 cores)\\n
\\n
\\n2193\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook (Late 2009)\\n\\n
\\nIntel Core 2 Duo P7550 2260 MHz\\n(2 cores)\\n
\\n
\\n2179\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Mid 2009)\\n\\n
\\nIntel Core 2 Duo P7550 2260 MHz\\n(2 cores)\\n
\\n
\\n2173\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (24-inch)\\n\\n
\\nIntel Core 2 Duo T7600 2330 MHz\\n(2 cores)\\n
\\n
\\n2155\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (Early 2008)\\n\\n
\\nIntel Core 2 Duo T8300 2400 MHz\\n(2 cores)\\n
\\n
\\n2092\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (Mid 2007)\\n\\n
\\nIntel Core 2 Duo T7800 2600 MHz\\n(2 cores)\\n
\\n
\\n2052\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook (Early 2008)\\n\\n
\\nIntel Core 2 Duo T8300 2400 MHz\\n(2 cores)\\n
\\n
\\n2045\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (Late 2006)\\n\\n
\\nIntel Core 2 Duo T7400 2160 MHz\\n(2 cores)\\n
\\n
\\n2029\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (13-inch Late 2010)\\n\\n
\\nIntel Core 2 Duo L9600 2130 MHz\\n(2 cores)\\n
\\n
\\n2026\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (24-inch)\\n\\n
\\nIntel Core 2 Duo T7400 2160 MHz\\n(2 cores)\\n
\\n
\\n2012\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook (Early 2009)\\n\\n
\\nIntel Core 2 Duo P7450 2130 MHz\\n(2 cores)\\n
\\n
\\n1991\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (Mid 2009)\\n\\n
\\nIntel Core 2 Duo P7350 2000 MHz\\n(2 cores)\\n
\\n
\\n1981\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Early 2009)\\n\\n
\\nIntel Core 2 Duo P7350 2000 MHz\\n(2 cores)\\n
\\n
\\n1946\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook (Late 2008)\\n\\n
\\nIntel Core 2 Duo P7350 2000 MHz\\n(2 cores)\\n
\\n
\\n1933\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (Mid 2007)\\n\\n
\\nIntel Core 2 Duo T7300 2000 MHz\\n(2 cores)\\n
\\n
\\n1910\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (Late 2006)\\n\\n
\\nIntel Core 2 Duo T7200 2000 MHz\\n(2 cores)\\n
\\n
\\n1895\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Mid 2007)\\n\\n
\\nIntel Core 2 Duo T7200 2000 MHz\\n(2 cores)\\n
\\n
\\n1877\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook (Early 2009)\\n\\n
\\nIntel Core 2 Duo P7350 2000 MHz\\n(2 cores)\\n
\\n
\\n1851\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (Mid 2007)\\n\\n
\\nIntel Core 2 Duo T7700 2400 MHz\\n(2 cores)\\n
\\n
\\n1846\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook (Mid 2007)\\n\\n
\\nIntel Core 2 Duo T7400 2160 MHz\\n(2 cores)\\n
\\n
\\n1841\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (Core 2 Duo)\\n\\n
\\nIntel Core 2 Duo T7600 2330 MHz\\n(2 cores)\\n
\\n
\\n1838\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook (Early 2008)\\n\\n
\\nIntel Core 2 Duo T8100 2100 MHz\\n(2 cores)\\n
\\n
\\n1817\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (17-inch Core 2 Duo)\\n\\n
\\nIntel Core 2 Duo T7600 2330 MHz\\n(2 cores)\\n
\\n
\\n1808\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (13-inch Late 2010)\\n\\n
\\nIntel Core 2 Duo L9400 1860 MHz\\n(2 cores)\\n
\\n
\\n1779\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook (Late 2007)\\n\\n
\\nIntel Core 2 Duo T7500 2200 MHz\\n(2 cores)\\n
\\n
\\n1765\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (Mid 2007)\\n\\n
\\nIntel Core 2 Duo T7500 2200 MHz\\n(2 cores)\\n
\\n
\\n1755\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (Core 2 Duo)\\n\\n
\\nIntel Core 2 Duo T7400 2160 MHz\\n(2 cores)\\n
\\n
\\n1744\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (17-inch Late 2006 CD)\\n\\n
\\nIntel Core 2 Duo T5600 1830 MHz\\n(2 cores)\\n
\\n
\\n1743\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Mid 2007)\\n\\n
\\nIntel Core 2 Duo T5600 1830 MHz\\n(2 cores)\\n
\\n
\\n1696\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook (Late 2006)\\n\\n
\\nIntel Core 2 Duo T7200 2000 MHz\\n(2 cores)\\n
\\n
\\n1685\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook (Late 2007)\\n\\n
\\nIntel Core 2 Duo T7300 2000 MHz\\n(2 cores)\\n
\\n
\\n1653\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook (Late 2006)\\n\\n
\\nIntel Core 2 Duo T5600 1830 MHz\\n(2 cores)\\n
\\n
\\n1546\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (Mid 2009)\\n\\n
\\nIntel Core 2 Duo L9600 2130 MHz\\n(2 cores)\\n
\\n
\\n1524\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (11-inch Late 2010)\\n\\n
\\nIntel Core 2 Duo U9600 1600 MHz\\n(2 cores)\\n
\\n
\\n1500\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (Late 2008)\\n\\n
\\nIntel Core 2 Duo L9300 1600 MHz\\n(2 cores)\\n
\\n
\\n1474\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (Late 2008)\\n\\n
\\nIntel Core 2 Duo L9400 1860 MHz\\n(2 cores)\\n
\\n
\\n1410\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (11-inch Late 2010)\\n\\n
\\nIntel Core 2 Duo U9400 1400 MHz\\n(2 cores)\\n
\\n
\\n1322\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air\\n\\n
\\nIntel Core 2 Duo P7700 1800 MHz\\n(2 cores)\\n
\\n
\\n1275\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air\\n\\n
\\nIntel Core 2 Duo P7500 1600 MHz\\n(2 cores)\\n
\\n
\\n1201\\n\\n
\\n \\n
\\n
\\n\\n
\\n
\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n
MacScore
\\n
\\n\\niMac (27-inch Retina)\\n\\n
\\nIntel Core i7-4790K 4000 MHz\\n(4 cores)\\n
\\n
\\n4364\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (27-inch Late 2013)\\n\\n
\\nIntel Core i7-4771 3500 MHz\\n(4 cores)\\n
\\n
\\n3914\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (21.5-inch Late 2013)\\n\\n
\\nIntel Core i7-4770S 3100 MHz\\n(4 cores)\\n
\\n
\\n3893\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Retina Mid 2015)\\n\\n
\\nIntel Core i7-4980HQ 2800 MHz\\n(4 cores)\\n
\\n
\\n3866\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Retina Mid 2014)\\n\\n
\\nIntel Core i7-4980HQ 2800 MHz\\n(4 cores)\\n
\\n
\\n3865\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (27-inch Retina)\\n\\n
\\nIntel Core i5-4690 3500 MHz\\n(4 cores)\\n
\\n
\\n3838\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (27-inch Late 2013)\\n\\n
\\nIntel Core i5-4670 3400 MHz\\n(4 cores)\\n
\\n
\\n3735\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Retina Late 2013)\\n\\n
\\nIntel Core i7-4960HQ 2600 MHz\\n(4 cores)\\n
\\n
\\n3704\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Retina Mid 2015)\\n\\n
\\nIntel Core i7-4870HQ 2500 MHz\\n(4 cores)\\n
\\n
\\n3646\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Retina Mid 2014)\\n\\n
\\nIntel Core i7-4870HQ 2500 MHz\\n(4 cores)\\n
\\n
\\n3632\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Late 2013)\\n\\n
\\nIntel Xeon E5-1650 v2 3500 MHz\\n(6 cores)\\n
\\n
\\n3597\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (27-inch Late 2012)\\n\\n
\\nIntel Core i7-3770 3400 MHz\\n(4 cores)\\n
\\n
\\n3592\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (27-inch Late 2013)\\n\\n
\\nIntel Core i5-4570 3200 MHz\\n(4 cores)\\n
\\n
\\n3568\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Late 2013)\\n\\n
\\nIntel Xeon E5-1620 v2 3700 MHz\\n(4 cores)\\n
\\n
\\n3567\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (21.5-inch Late 2012)\\n\\n
\\nIntel Core i7-3770S 3100 MHz\\n(4 cores)\\n
\\n
\\n3556\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Late 2013)\\n\\n
\\nIntel Xeon E5-1680 v2 3000 MHz\\n(8 cores)\\n
\\n
\\n3548\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (21.5-inch Late 2013)\\n\\n
\\nIntel Core i5-4570S 2900 MHz\\n(4 cores)\\n
\\n
\\n3544\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Retina Late 2013)\\n\\n
\\nIntel Core i7-4850HQ 2300 MHz\\n(4 cores)\\n
\\n
\\n3443\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Retina Mid 2014)\\n\\n
\\nIntel Core i7-4578U 3000 MHz\\n(2 cores)\\n
\\n
\\n3441\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Retina Early 2015)\\n\\n
\\nIntel Core i7-5557U 3100 MHz\\n(2 cores)\\n
\\n
\\n3432\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Retina Early 2013)\\n\\n
\\nIntel Core i7-3840QM 2800 MHz\\n(4 cores)\\n
\\n
\\n3408\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Late 2014)\\n\\n
\\nIntel Core i7-4578U 3000 MHz\\n(2 cores)\\n
\\n
\\n3396\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Retina Early 2015)\\n\\n
\\nIntel Core i5-5287U 2900 MHz\\n(2 cores)\\n
\\n
\\n3386\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Mid 2012)\\n\\n
\\nIntel Core i7-3820QM 2700 MHz\\n(4 cores)\\n
\\n
\\n3375\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Retina Mid 2014)\\n\\n
\\nIntel Core i7-4770HQ 2200 MHz\\n(4 cores)\\n
\\n
\\n3367\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Retina Mid 2015)\\n\\n
\\nIntel Core i7-4770HQ 2200 MHz\\n(4 cores)\\n
\\n
\\n3343\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (Retina)\\n\\n
\\nIntel Core i7-3820QM 2700 MHz\\n(4 cores)\\n
\\n
\\n3319\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Retina Early 2013)\\n\\n
\\nIntel Core i7-3740QM 2700 MHz\\n(4 cores)\\n
\\n
\\n3306\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (21.5-inch Late 2012)\\n\\n
\\nIntel Core i5-3470S 2900 MHz\\n(4 cores)\\n
\\n
\\n3302\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Late 2014)\\n\\n
\\nIntel Core i5-4308U 2800 MHz\\n(2 cores)\\n
\\n
\\n3293\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Retina Late 2013)\\n\\n
\\nIntel Core i7-4558U 2800 MHz\\n(2 cores)\\n
\\n
\\n3283\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (27-inch Late 2012)\\n\\n
\\nIntel Core i5-3470 3200 MHz\\n(4 cores)\\n
\\n
\\n3279\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (27-inch Late 2012)\\n\\n
\\nIntel Core i5-3470S 2900 MHz\\n(4 cores)\\n
\\n
\\n3279\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Mid 2012)\\n\\n
\\nIntel Core i7-3720QM 2600 MHz\\n(4 cores)\\n
\\n
\\n3269\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Late 2012)\\n\\n
\\nIntel Core i7-3720QM 2600 MHz\\n(4 cores)\\n
\\n
\\n3262\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (11-inch Early 2015)\\n\\n
\\nIntel Core i7-5650U 2200 MHz\\n(2 cores)\\n
\\n
\\n3246\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (Retina)\\n\\n
\\nIntel Core i7-3720QM 2600 MHz\\n(4 cores)\\n
\\n
\\n3231\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (13-inch Early 2015)\\n\\n
\\nIntel Core i7-5650U 2200 MHz\\n(2 cores)\\n
\\n
\\n3219\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Retina Mid 2014)\\n\\n
\\nIntel Core i5-4308U 2800 MHz\\n(2 cores)\\n
\\n
\\n3214\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Mid 2012)\\n\\n
\\nIntel Core i7-3520M 2900 MHz\\n(2 cores)\\n
\\n
\\n3207\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Retina Early 2015)\\n\\n
\\nIntel Core i5-5257U 2700 MHz\\n(2 cores)\\n
\\n
\\n3205\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Retina Early 2013)\\n\\n
\\nIntel Core i7-3540M 3000 MHz\\n(2 cores)\\n
\\n
\\n3183\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (21.5-inch Late 2013)\\n\\n
\\nIntel Core i5-4570R 2700 MHz\\n(4 cores)\\n
\\n
\\n3175\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Late 2013)\\n\\n
\\nIntel Xeon E5-2697 v2 2700 MHz\\n(12 cores)\\n
\\n
\\n3144\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (11-inch Mid 2013)\\n\\n
\\nIntel Core i7-4650U 1700 MHz\\n(2 cores)\\n
\\n
\\n3138\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Retina)\\n\\n
\\nIntel Core i7-3520M 2900 MHz\\n(2 cores)\\n
\\n
\\n3136\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Retina Late 2013)\\n\\n
\\nIntel Core i7-4750HQ 2000 MHz\\n(4 cores)\\n
\\n
\\n3121\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (13-inch Mid 2013)\\n\\n
\\nIntel Core i7-4650U 1700 MHz\\n(2 cores)\\n
\\n
\\n3115\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Retina Early 2013)\\n\\n
\\nIntel Core i7-3635QM 2400 MHz\\n(4 cores)\\n
\\n
\\n3107\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Late 2014)\\n\\n
\\nIntel Core i5-4278U 2600 MHz\\n(2 cores)\\n
\\n
\\n3104\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (27-inch Mid 2011)\\n\\n
\\nIntel Core i7-2600 3400 MHz\\n(4 cores)\\n
\\n
\\n3089\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Retina Late 2013)\\n\\n
\\nIntel Core i5-4288U 2600 MHz\\n(2 cores)\\n
\\n
\\n3084\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (21.5-inch Mid 2011)\\n\\n
\\nIntel Core i7-2600S 2800 MHz\\n(4 cores)\\n
\\n
\\n3078\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Retina Mid 2014)\\n\\n
\\nIntel Core i5-4278U 2600 MHz\\n(2 cores)\\n
\\n
\\n3039\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Mid 2012)\\n\\n
\\nIntel Core i7-3615QM 2300 MHz\\n(4 cores)\\n
\\n
\\n3023\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (Retina)\\n\\n
\\nIntel Core i7-3615QM 2300 MHz\\n(4 cores)\\n
\\n
\\n3010\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Late 2012)\\n\\n
\\nIntel Core i7-3615QM 2300 MHz\\n(4 cores)\\n
\\n
\\n3006\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (17-inch Late 2011)\\n\\n
\\nIntel Core i7-2860QM 2500 MHz\\n(4 cores)\\n
\\n
\\n3002\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (21.5-inch Mid 2011)\\n\\n
\\nIntel Core i5-2500S 2700 MHz\\n(4 cores)\\n
\\n
\\n2974\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (21.5-inch Late 2012)\\n\\n
\\nIntel Core i5-3335S 2700 MHz\\n(4 cores)\\n
\\n
\\n2957\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Late 2011)\\n\\n
\\nIntel Core i7-2860QM 2500 MHz\\n(4 cores)\\n
\\n
\\n2950\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (27-inch Mid 2011)\\n\\n
\\nIntel Core i5-2500S 2700 MHz\\n(4 cores)\\n
\\n
\\n2906\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Retina Late 2013)\\n\\n
\\nIntel Core i5-4258U 2400 MHz\\n(2 cores)\\n
\\n
\\n2895\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Late 2011)\\n\\n
\\nIntel Core i7-2760QM 2400 MHz\\n(4 cores)\\n
\\n
\\n2864\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (17-inch Late 2011)\\n\\n
\\nIntel Core i7-2760QM 2400 MHz\\n(4 cores)\\n
\\n
\\n2861\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (11-inch Mid 2012)\\n\\n
\\nIntel Core i7-3667U 2000 MHz\\n(2 cores)\\n
\\n
\\n2848\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (27-inch Mid 2011)\\n\\n
\\nIntel Core i5-2400 3100 MHz\\n(4 cores)\\n
\\n
\\n2809\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (13-inch Mid 2012)\\n\\n
\\nIntel Core i7-3667U 2000 MHz\\n(2 cores)\\n
\\n
\\n2807\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Retina Early 2013)\\n\\n
\\nIntel Core i5-3230M 2600 MHz\\n(2 cores)\\n
\\n
\\n2795\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Early 2011)\\n\\n
\\nIntel Core i7-2820QM 2300 MHz\\n(4 cores)\\n
\\n
\\n2794\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (11-inch Early 2015)\\n\\n
\\nIntel Core i5-5250U 1600 MHz\\n(2 cores)\\n
\\n
\\n2793\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Late 2011)\\n\\n
\\nIntel Core i7-2640M 2800 MHz\\n(2 cores)\\n
\\n
\\n2791\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (13-inch Early 2015)\\n\\n
\\nIntel Core i5-5250U 1600 MHz\\n(2 cores)\\n
\\n
\\n2775\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Mid 2012)\\n\\n
\\nIntel Core i5-3210M 2500 MHz\\n(2 cores)\\n
\\n
\\n2767\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Late 2014)\\n\\n
\\nIntel Core i5-4260U 1400 MHz\\n(2 cores)\\n
\\n
\\n2763\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Late 2012)\\n\\n
\\nIntel Core i5-3210M 2500 MHz\\n(2 cores)\\n
\\n
\\n2753\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (17-inch Early 2011)\\n\\n
\\nIntel Core i7-2820QM 2300 MHz\\n(4 cores)\\n
\\n
\\n2750\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Mid 2010)\\n\\n
\\nIntel Xeon W3680 3330 MHz\\n(6 cores)\\n
\\n
\\n2743\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (21.5-inch Mid 2014)\\n\\n
\\nIntel Core i5-4260U 1400 MHz\\n(2 cores)\\n
\\n
\\n2743\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Mid 2011)\\n\\n
\\nIntel Core i7-2620M 2700 MHz\\n(2 cores)\\n
\\n
\\n2740\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Retina)\\n\\n
\\nIntel Core i5-3210M 2500 MHz\\n(2 cores)\\n
\\n
\\n2719\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (17-inch Early 2011)\\n\\n
\\nIntel Core i7-2720QM 2200 MHz\\n(4 cores)\\n
\\n
\\n2694\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Early 2011)\\n\\n
\\nIntel Core i7-2620M 2700 MHz\\n(2 cores)\\n
\\n
\\n2693\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Early 2011)\\n\\n
\\nIntel Core i7-2720QM 2200 MHz\\n(4 cores)\\n
\\n
\\n2690\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (21.5-inch Mid 2011)\\n\\n
\\nIntel Core i5-2400S 2500 MHz\\n(4 cores)\\n
\\n
\\n2680\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (11-inch Early 2014)\\n\\n
\\nIntel Core i5-4260U 1400 MHz\\n(2 cores)\\n
\\n
\\n2646\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (27-inch Mid 2010)\\n\\n
\\nIntel Core i5-680 3600 MHz\\n(2 cores)\\n
\\n
\\n2645\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook (Early 2015)\\n\\n
\\nIntel Core M-5Y71 1300 MHz\\n(2 cores)\\n
\\n
\\n2636\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (13-inch Early 2014)\\n\\n
\\nIntel Core i5-4260U 1400 MHz\\n(2 cores)\\n
\\n
\\n2627\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Mid 2011)\\n\\n
\\nIntel Core i5-2520M 2500 MHz\\n(2 cores)\\n
\\n
\\n2585\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Late 2011)\\n\\n
\\nIntel Core i7-2675QM 2200 MHz\\n(4 cores)\\n
\\n
\\n2570\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Mid 2012)\\n\\n
\\nIntel Xeon X5675 3070 MHz\\n(12 cores)\\n
\\n
\\n2562\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (13-inch Mid 2013)\\n\\n
\\nIntel Core i5-4250U 1300 MHz\\n(2 cores)\\n
\\n
\\n2559\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (11-inch Mid 2013)\\n\\n
\\nIntel Core i5-4250U 1300 MHz\\n(2 cores)\\n
\\n
\\n2556\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (13-inch Mid 2012)\\n\\n
\\nIntel Core i5-3427U 1800 MHz\\n(2 cores)\\n
\\n
\\n2519\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Mid 2010)\\n\\n
\\nIntel Xeon X5670 2930 MHz\\n(12 cores)\\n
\\n
\\n2505\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Late 2011)\\n\\n
\\nIntel Core i5-2435M 2400 MHz\\n(2 cores)\\n
\\n
\\n2432\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook (Early 2015)\\n\\n
\\nIntel Core M-5Y51 1200 MHz\\n(2 cores)\\n
\\n
\\n2421\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Early 2011)\\n\\n
\\nIntel Core i7-2635QM 2000 MHz\\n(4 cores)\\n
\\n
\\n2417\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (27-inch Mid 2010)\\n\\n
\\nIntel Core i7-870 2930 MHz\\n(4 cores)\\n
\\n
\\n2411\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Mid 2011)\\n\\n
\\nIntel Core i7-2635QM 2000 MHz\\n(4 cores)\\n
\\n
\\n2409\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Mid 2010)\\n\\n
\\nIntel Xeon W3565 3200 MHz\\n(4 cores)\\n
\\n
\\n2398\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (11-inch Mid 2012)\\n\\n
\\nIntel Core i5-3317U 1700 MHz\\n(2 cores)\\n
\\n
\\n2398\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (21.5-inch Mid 2010)\\n\\n
\\nIntel Core i5-680 3600 MHz\\n(2 cores)\\n
\\n
\\n2381\\n\\n
\\n \\n
\\n
\\n
\\n\\nXserve (Early 2009)\\n\\n
\\nIntel Xeon X5570 2930 MHz\\n(8 cores)\\n
\\n
\\n2375\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (21.5 inch Late 2011)\\n\\n
\\nIntel Core i3-2100 3100 MHz\\n(2 cores)\\n
\\n
\\n2359\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Early 2011)\\n\\n
\\nIntel Core i5-2415M 2300 MHz\\n(2 cores)\\n
\\n
\\n2356\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Mid 2011)\\n\\n
\\nIntel Core i5-2415M 2300 MHz\\n(2 cores)\\n
\\n
\\n2346\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (13-inch Mid 2011)\\n\\n
\\nIntel Core i7-2677M 1800 MHz\\n(2 cores)\\n
\\n
\\n2339\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Mid 2010)\\n\\n
\\nIntel Xeon X5650 2670 MHz\\n(12 cores)\\n
\\n
\\n2315\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Early 2009)\\n\\n
\\nIntel Xeon X5570 2930 MHz\\n(8 cores)\\n
\\n
\\n2307\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Early 2010)\\n\\n
\\nIntel Core i7-640M 2800 MHz\\n(2 cores)\\n
\\n
\\n2303\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (11-inch Mid 2011)\\n\\n
\\nIntel Core i7-2677M 1800 MHz\\n(2 cores)\\n
\\n
\\n2301\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook (Early 2015)\\n\\n
\\nIntel Core M-5Y31 1100 MHz\\n(2 cores)\\n
\\n
\\n2292\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (27-inch Late 2009)\\n\\n
\\nIntel Core i7-860 2800 MHz\\n(4 cores)\\n
\\n
\\n2282\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (17-inch Early 2010)\\n\\n
\\nIntel Core i7-640M 2800 MHz\\n(2 cores)\\n
\\n
\\n2274\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (27-inch Mid 2010)\\n\\n
\\nIntel Core i5-760 2800 MHz\\n(4 cores)\\n
\\n
\\n2273\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Early 2009)\\n\\n
\\nIntel Xeon W3540 2930 MHz\\n(4 cores)\\n
\\n
\\n2229\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Early 2010)\\n\\n
\\nIntel Core i7-620M 2670 MHz\\n(2 cores)\\n
\\n
\\n2219\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (17-inch Early 2010)\\n\\n
\\nIntel Core i7-620M 2670 MHz\\n(2 cores)\\n
\\n
\\n2205\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (13-inch Mid 2011)\\n\\n
\\nIntel Core i5-2557M 1700 MHz\\n(2 cores)\\n
\\n
\\n2182\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (21.5-inch Mid 2010)\\n\\n
\\nIntel Core i3-550 3200 MHz\\n(2 cores)\\n
\\n
\\n2167\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Mid 2010)\\n\\n
\\nIntel Xeon W3530 2800 MHz\\n(4 cores)\\n
\\n
\\n2166\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (27-inch Late 2009)\\n\\n
\\nIntel Core i5-750 2670 MHz\\n(4 cores)\\n
\\n
\\n2162\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Early 2009)\\n\\n
\\nIntel Xeon X5550 2670 MHz\\n(8 cores)\\n
\\n
\\n2139\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (27-inch Mid 2010)\\n\\n
\\nIntel Core i3-550 3200 MHz\\n(2 cores)\\n
\\n
\\n2096\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Mid 2012)\\n\\n
\\nIntel Xeon E5645 2400 MHz\\n(12 cores)\\n
\\n
\\n2096\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Early 2009)\\n\\n
\\nIntel Xeon W3520 2670 MHz\\n(4 cores)\\n
\\n
\\n2083\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Early 2010)\\n\\n
\\nIntel Core i5-540M 2530 MHz\\n(2 cores)\\n
\\n
\\n2065\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (17-inch Early 2010)\\n\\n
\\nIntel Core i5-540M 2530 MHz\\n(2 cores)\\n
\\n
\\n2018\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (21.5-inch Mid 2010)\\n\\n
\\nIntel Core i3-540 3070 MHz\\n(2 cores)\\n
\\n
\\n2014\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Mid 2010)\\n\\n
\\nIntel Xeon E5620 2400 MHz\\n(8 cores)\\n
\\n
\\n2003\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Early 2010)\\n\\n
\\nIntel Core i5-520M 2400 MHz\\n(2 cores)\\n
\\n
\\n1975\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (Late 2009)\\n\\n
\\nIntel Core 2 Duo E8600 3330 MHz\\n(2 cores)\\n
\\n
\\n1974\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (11-inch Mid 2011)\\n\\n
\\nIntel Core i5-2467M 1601 MHz\\n(2 cores)\\n
\\n
\\n1932\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Early 2008)\\n\\n
\\nIntel Xeon X5482 3200 MHz\\n(8 cores)\\n
\\n
\\n1872\\n\\n
\\n \\n
\\n
\\n
\\n\\nXserve (Early 2009)\\n\\n
\\nIntel Xeon E5520 2270 MHz\\n(8 cores)\\n
\\n
\\n1839\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Early 2009)\\n\\n
\\nIntel Xeon E5520 2270 MHz\\n(8 cores)\\n
\\n
\\n1818\\n\\n
\\n \\n
\\n
\\n
\\n\\nXserve (Early 2008)\\n\\n
\\nIntel Xeon E5462 2800 MHz\\n(8 cores)\\n
\\n
\\n1811\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Mid 2009)\\n\\n
\\nIntel Core 2 Duo T9900 3060 MHz\\n(2 cores)\\n
\\n
\\n1783\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (Early 2009)\\n\\n
\\nIntel Core 2 Duo E8435 3060 MHz\\n(2 cores)\\n
\\n
\\n1770\\n\\n
\\n \\n
\\n
\\n
\\n\\nXserve (Early 2008)\\n\\n
\\nIntel Xeon E5472 3000 MHz\\n(8 cores)\\n
\\n
\\n1764\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Early 2008)\\n\\n
\\nIntel Xeon E5472 3000 MHz\\n(8 cores)\\n
\\n
\\n1763\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (Late 2009)\\n\\n
\\nIntel Core 2 Duo E7600 3060 MHz\\n(2 cores)\\n
\\n
\\n1763\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Early 2008)\\n\\n
\\nIntel Xeon X5472 3000 MHz\\n(8 cores)\\n
\\n
\\n1761\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (17-inch Mid 2009)\\n\\n
\\nIntel Core 2 Duo T9900 3060 MHz\\n(2 cores)\\n
\\n
\\n1749\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (Early 2008)\\n\\n
\\nIntel Core 2 Duo E8435 3060 MHz\\n(2 cores)\\n
\\n
\\n1729\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (Early 2009)\\n\\n
\\nIntel Core 2 Duo E8335 2930 MHz\\n(2 cores)\\n
\\n
\\n1727\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro\\n\\n
\\nIntel Xeon 5160 3000 MHz\\n(4 cores)\\n
\\n
\\n1687\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (8-core)\\n\\n
\\nIntel Xeon X5365 3000 MHz\\n(8 cores)\\n
\\n
\\n1683\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (Late 2008)\\n\\n
\\nIntel Core 2 Duo T9800 2930 MHz\\n(2 cores)\\n
\\n
\\n1679\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (Early 2008)\\n\\n
\\nIntel Core 2 Duo E8235 2800 MHz\\n(2 cores)\\n
\\n
\\n1665\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Early 2008)\\n\\n
\\nIntel Xeon E5462 2800 MHz\\n(8 cores)\\n
\\n
\\n1661\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Early 2008)\\n\\n
\\nIntel Xeon E5462 2800 MHz\\n(4 cores)\\n
\\n
\\n1655\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (17-inch Early 2009)\\n\\n
\\nIntel Core 2 Duo T9800 2930 MHz\\n(2 cores)\\n
\\n
\\n1643\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (17-inch Mid 2009)\\n\\n
\\nIntel Core 2 Duo T9600 2800 MHz\\n(2 cores)\\n
\\n
\\n1629\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Mid 2009)\\n\\n
\\nIntel Core 2 Duo T9600 2800 MHz\\n(2 cores)\\n
\\n
\\n1624\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (Late 2008)\\n\\n
\\nIntel Core 2 Duo T9600 2800 MHz\\n(2 cores)\\n
\\n
\\n1615\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (Mid 2007)\\n\\n
\\nIntel Core 2 Extreme X7900 2800 MHz\\n(2 cores)\\n
\\n
\\n1604\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (Early 2009)\\n\\n
\\nIntel Core 2 Duo E8135 2660 MHz\\n(2 cores)\\n
\\n
\\n1588\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Mid 2009)\\n\\n
\\nIntel Core 2 Duo P8800 2660 MHz\\n(2 cores)\\n
\\n
\\n1566\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (Late 2008)\\n\\n
\\nIntel Core 2 Duo T9550 2660 MHz\\n(2 cores)\\n
\\n
\\n1566\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Early 2010)\\n\\n
\\nIntel Core 2 Duo P8800 2660 MHz\\n(2 cores)\\n
\\n
\\n1559\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Early 2010)\\n\\n
\\nIntel Core 2 Duo P8800 2660 MHz\\n(2 cores)\\n
\\n
\\n1553\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro\\n\\n
\\nIntel Xeon 5150 2660 MHz\\n(4 cores)\\n
\\n
\\n1517\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (17-inch Early 2009)\\n\\n
\\nIntel Core 2 Duo T9550 2660 MHz\\n(2 cores)\\n
\\n
\\n1510\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Mid 2009)\\n\\n
\\nIntel Core 2 Duo P8700 2530 MHz\\n(2 cores)\\n
\\n
\\n1494\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Late 2009)\\n\\n
\\nIntel Core 2 Duo P8700 2530 MHz\\n(2 cores)\\n
\\n
\\n1481\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (Late 2008)\\n\\n
\\nIntel Core 2 Duo T9400 2530 MHz\\n(2 cores)\\n
\\n
\\n1476\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Mid 2009)\\n\\n
\\nIntel Core 2 Duo P8700 2530 MHz\\n(2 cores)\\n
\\n
\\n1463\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (Early 2008)\\n\\n
\\nIntel Core 2 Duo T9500 2600 MHz\\n(2 cores)\\n
\\n
\\n1443\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Early 2010)\\n\\n
\\nIntel Core 2 Duo P8600 2400 MHz\\n(2 cores)\\n
\\n
\\n1420\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook (Mid 2010)\\n\\n
\\nIntel Core 2 Duo P8600 2400 MHz\\n(2 cores)\\n
\\n
\\n1419\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook (Late 2008)\\n\\n
\\nIntel Core 2 Duo P8600 2400 MHz\\n(2 cores)\\n
\\n
\\n1417\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Early 2010)\\n\\n
\\nIntel Core 2 Duo P8600 2400 MHz\\n(2 cores)\\n
\\n
\\n1416\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (Late 2008)\\n\\n
\\nIntel Core 2 Duo P8600 2400 MHz\\n(2 cores)\\n
\\n
\\n1411\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (Mid 2007)\\n\\n
\\nIntel Core 2 Duo T7700 2400 MHz\\n(2 cores)\\n
\\n
\\n1381\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (Mid 2007)\\n\\n
\\nIntel Core 2 Duo T7800 2600 MHz\\n(2 cores)\\n
\\n
\\n1373\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (Early 2008)\\n\\n
\\nIntel Core 2 Duo T8300 2400 MHz\\n(2 cores)\\n
\\n
\\n1364\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (Early 2008)\\n\\n
\\nIntel Core 2 Duo T9300 2500 MHz\\n(2 cores)\\n
\\n
\\n1360\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook (Late 2009)\\n\\n
\\nIntel Core 2 Duo P7550 2260 MHz\\n(2 cores)\\n
\\n
\\n1358\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Mid 2009)\\n\\n
\\nIntel Core 2 Duo P7550 2260 MHz\\n(2 cores)\\n
\\n
\\n1345\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Late 2009)\\n\\n
\\nIntel Core 2 Duo P7550 2260 MHz\\n(2 cores)\\n
\\n
\\n1345\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Early 2009)\\n\\n
\\nIntel Core 2 Duo P8400 2260 MHz\\n(2 cores)\\n
\\n
\\n1337\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook (Early 2008)\\n\\n
\\nIntel Core 2 Duo T8300 2400 MHz\\n(2 cores)\\n
\\n
\\n1334\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Mid 2009)\\n\\n
\\nIntel Core 2 Duo P8400 2260 MHz\\n(2 cores)\\n
\\n
\\n1309\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (13-inch Late 2010)\\n\\n
\\nIntel Core 2 Duo L9600 2130 MHz\\n(2 cores)\\n
\\n
\\n1292\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook (Early 2009)\\n\\n
\\nIntel Core 2 Duo P7450 2130 MHz\\n(2 cores)\\n
\\n
\\n1272\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (Core 2 Duo)\\n\\n
\\nIntel Core 2 Duo T7600 2330 MHz\\n(2 cores)\\n
\\n
\\n1266\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (24-inch)\\n\\n
\\nIntel Core 2 Duo T7400 2160 MHz\\n(2 cores)\\n
\\n
\\n1251\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (Mid 2007)\\n\\n
\\nIntel Core 2 Duo T7700 2400 MHz\\n(2 cores)\\n
\\n
\\n1246\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (Late 2006)\\n\\n
\\nIntel Core 2 Duo T7400 2160 MHz\\n(2 cores)\\n
\\n
\\n1239\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook (Early 2008)\\n\\n
\\nIntel Core 2 Duo T8100 2100 MHz\\n(2 cores)\\n
\\n
\\n1197\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook (Late 2008)\\n\\n
\\nIntel Core 2 Duo P7350 2000 MHz\\n(2 cores)\\n
\\n
\\n1195\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Early 2009)\\n\\n
\\nIntel Core 2 Duo P7350 2000 MHz\\n(2 cores)\\n
\\n
\\n1192\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro\\n\\n
\\nIntel Xeon 5130 2000 MHz\\n(4 cores)\\n
\\n
\\n1177\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook (Late 2007)\\n\\n
\\nIntel Core 2 Duo T7300 2000 MHz\\n(2 cores)\\n
\\n
\\n1170\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (Mid 2007)\\n\\n
\\nIntel Core 2 Duo T7300 2000 MHz\\n(2 cores)\\n
\\n
\\n1169\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook (Late 2007)\\n\\n
\\nIntel Core 2 Duo T7500 2200 MHz\\n(2 cores)\\n
\\n
\\n1166\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (Late 2006)\\n\\n
\\nIntel Core 2 Duo T7200 2000 MHz\\n(2 cores)\\n
\\n
\\n1165\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook (Early 2009)\\n\\n
\\nIntel Core 2 Duo P7350 2000 MHz\\n(2 cores)\\n
\\n
\\n1157\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Mid 2007)\\n\\n
\\nIntel Core 2 Duo T7200 2000 MHz\\n(2 cores)\\n
\\n
\\n1155\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook (Mid 2007)\\n\\n
\\nIntel Core 2 Duo T7400 2160 MHz\\n(2 cores)\\n
\\n
\\n1154\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (Mid 2007)\\n\\n
\\nIntel Core 2 Duo T7500 2200 MHz\\n(2 cores)\\n
\\n
\\n1149\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (Core 2 Duo)\\n\\n
\\nIntel Core 2 Duo T7400 2160 MHz\\n(2 cores)\\n
\\n
\\n1144\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (13-inch Late 2010)\\n\\n
\\nIntel Core 2 Duo L9400 1860 MHz\\n(2 cores)\\n
\\n
\\n1135\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook (Late 2006)\\n\\n
\\nIntel Core 2 Duo T7200 2000 MHz\\n(2 cores)\\n
\\n
\\n1112\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (17-inch Core 2 Duo)\\n\\n
\\nIntel Core 2 Duo T7600 2330 MHz\\n(2 cores)\\n
\\n
\\n1110\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Mid 2007)\\n\\n
\\nIntel Core 2 Duo T5600 1830 MHz\\n(2 cores)\\n
\\n
\\n1056\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (11-inch Late 2010)\\n\\n
\\nIntel Core 2 Duo U9600 1600 MHz\\n(2 cores)\\n
\\n
\\n976\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (Mid 2009)\\n\\n
\\nIntel Core 2 Duo L9600 2130 MHz\\n(2 cores)\\n
\\n
\\n976\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (Late 2008)\\n\\n
\\nIntel Core 2 Duo L9400 1860 MHz\\n(2 cores)\\n
\\n
\\n967\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (11-inch Late 2010)\\n\\n
\\nIntel Core 2 Duo U9400 1400 MHz\\n(2 cores)\\n
\\n
\\n874\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air\\n\\n
\\nIntel Core 2 Duo P7500 1600 MHz\\n(2 cores)\\n
\\n
\\n818\\n\\n
\\n \\n
\\n
\\n\\n
\\n
\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n
MacScore
\\n
\\n\\nMac Pro (Late 2013)\\n\\n
\\nIntel Xeon E5-2697 v2 2700 MHz\\n(12 cores)\\n
\\n
\\n32219\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Mid 2012)\\n\\n
\\nIntel Xeon X5675 3070 MHz\\n(12 cores)\\n
\\n
\\n27779\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Mid 2010)\\n\\n
\\nIntel Xeon X5670 2930 MHz\\n(12 cores)\\n
\\n
\\n26918\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Late 2013)\\n\\n
\\nIntel Xeon E5-1680 v2 3000 MHz\\n(8 cores)\\n
\\n
\\n25503\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Mid 2010)\\n\\n
\\nIntel Xeon X5650 2670 MHz\\n(12 cores)\\n
\\n
\\n25088\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Mid 2012)\\n\\n
\\nIntel Xeon E5645 2400 MHz\\n(12 cores)\\n
\\n
\\n22112\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Late 2013)\\n\\n
\\nIntel Xeon E5-1650 v2 3500 MHz\\n(6 cores)\\n
\\n
\\n20663\\n\\n
\\n \\n
\\n
\\n
\\n\\nXserve (Early 2009)\\n\\n
\\nIntel Xeon X5570 2930 MHz\\n(8 cores)\\n
\\n
\\n17814\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Early 2009)\\n\\n
\\nIntel Xeon X5570 2930 MHz\\n(8 cores)\\n
\\n
\\n17749\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (27-inch Retina)\\n\\n
\\nIntel Core i7-4790K 4000 MHz\\n(4 cores)\\n
\\n
\\n16642\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Early 2009)\\n\\n
\\nIntel Xeon X5550 2670 MHz\\n(8 cores)\\n
\\n
\\n16527\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Mid 2010)\\n\\n
\\nIntel Xeon E5620 2400 MHz\\n(8 cores)\\n
\\n
\\n15565\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Mid 2010)\\n\\n
\\nIntel Xeon W3680 3330 MHz\\n(6 cores)\\n
\\n
\\n15519\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (27-inch Late 2013)\\n\\n
\\nIntel Core i7-4771 3500 MHz\\n(4 cores)\\n
\\n
\\n14766\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Retina Mid 2015)\\n\\n
\\nIntel Core i7-4980HQ 2800 MHz\\n(4 cores)\\n
\\n
\\n14744\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Retina Mid 2014)\\n\\n
\\nIntel Core i7-4980HQ 2800 MHz\\n(4 cores)\\n
\\n
\\n14598\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Late 2013)\\n\\n
\\nIntel Xeon E5-1620 v2 3700 MHz\\n(4 cores)\\n
\\n
\\n14317\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Retina Late 2013)\\n\\n
\\nIntel Core i7-4960HQ 2600 MHz\\n(4 cores)\\n
\\n
\\n14288\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (21.5-inch Late 2013)\\n\\n
\\nIntel Core i7-4770S 3100 MHz\\n(4 cores)\\n
\\n
\\n14126\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Retina Mid 2014)\\n\\n
\\nIntel Core i7-4870HQ 2500 MHz\\n(4 cores)\\n
\\n
\\n13939\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (27-inch Late 2012)\\n\\n
\\nIntel Core i7-3770 3400 MHz\\n(4 cores)\\n
\\n
\\n13908\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Retina Mid 2015)\\n\\n
\\nIntel Core i7-4870HQ 2500 MHz\\n(4 cores)\\n
\\n
\\n13904\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Early 2009)\\n\\n
\\nIntel Xeon E5520 2270 MHz\\n(8 cores)\\n
\\n
\\n13801\\n\\n
\\n \\n
\\n
\\n
\\n\\nXserve (Early 2009)\\n\\n
\\nIntel Xeon E5520 2270 MHz\\n(8 cores)\\n
\\n
\\n13701\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Retina Late 2013)\\n\\n
\\nIntel Core i7-4850HQ 2300 MHz\\n(4 cores)\\n
\\n
\\n13340\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (21.5-inch Late 2012)\\n\\n
\\nIntel Core i7-3770S 3100 MHz\\n(4 cores)\\n
\\n
\\n13227\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Retina Early 2013)\\n\\n
\\nIntel Core i7-3840QM 2800 MHz\\n(4 cores)\\n
\\n
\\n13126\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Mid 2012)\\n\\n
\\nIntel Core i7-3820QM 2700 MHz\\n(4 cores)\\n
\\n
\\n13089\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Retina Mid 2014)\\n\\n
\\nIntel Core i7-4770HQ 2200 MHz\\n(4 cores)\\n
\\n
\\n12967\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Retina Mid 2015)\\n\\n
\\nIntel Core i7-4770HQ 2200 MHz\\n(4 cores)\\n
\\n
\\n12963\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Early 2008)\\n\\n
\\nIntel Xeon X5482 3200 MHz\\n(8 cores)\\n
\\n
\\n12851\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (Retina)\\n\\n
\\nIntel Core i7-3820QM 2700 MHz\\n(4 cores)\\n
\\n
\\n12763\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Retina Early 2013)\\n\\n
\\nIntel Core i7-3740QM 2700 MHz\\n(4 cores)\\n
\\n
\\n12712\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Late 2012)\\n\\n
\\nIntel Core i7-3720QM 2600 MHz\\n(4 cores)\\n
\\n
\\n12703\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Mid 2012)\\n\\n
\\nIntel Core i7-3720QM 2600 MHz\\n(4 cores)\\n
\\n
\\n12685\\n\\n
\\n \\n
\\n
\\n
\\n\\nXserve (Early 2008)\\n\\n
\\nIntel Xeon E5462 2800 MHz\\n(8 cores)\\n
\\n
\\n12605\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (Retina)\\n\\n
\\nIntel Core i7-3720QM 2600 MHz\\n(4 cores)\\n
\\n
\\n12365\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (27-inch Retina)\\n\\n
\\nIntel Core i5-4690 3500 MHz\\n(4 cores)\\n
\\n
\\n12173\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Retina Late 2013)\\n\\n
\\nIntel Core i7-4750HQ 2000 MHz\\n(4 cores)\\n
\\n
\\n12112\\n\\n
\\n \\n
\\n
\\n
\\n\\nXserve (Early 2008)\\n\\n
\\nIntel Xeon E5472 3000 MHz\\n(8 cores)\\n
\\n
\\n12047\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Retina Early 2013)\\n\\n
\\nIntel Core i7-3635QM 2400 MHz\\n(4 cores)\\n
\\n
\\n12002\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Early 2008)\\n\\n
\\nIntel Xeon E5472 3000 MHz\\n(8 cores)\\n
\\n
\\n11997\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Early 2008)\\n\\n
\\nIntel Xeon X5472 3000 MHz\\n(8 cores)\\n
\\n
\\n11967\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (27-inch Mid 2011)\\n\\n
\\nIntel Core i7-2600 3400 MHz\\n(4 cores)\\n
\\n
\\n11811\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (27-inch Late 2013)\\n\\n
\\nIntel Core i5-4670 3400 MHz\\n(4 cores)\\n
\\n
\\n11774\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Mid 2012)\\n\\n
\\nIntel Core i7-3615QM 2300 MHz\\n(4 cores)\\n
\\n
\\n11718\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Late 2012)\\n\\n
\\nIntel Core i7-3615QM 2300 MHz\\n(4 cores)\\n
\\n
\\n11691\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (Retina)\\n\\n
\\nIntel Core i7-3615QM 2300 MHz\\n(4 cores)\\n
\\n
\\n11547\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Early 2008)\\n\\n
\\nIntel Xeon E5462 2800 MHz\\n(8 cores)\\n
\\n
\\n11329\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (8-core)\\n\\n
\\nIntel Xeon X5365 3000 MHz\\n(8 cores)\\n
\\n
\\n11309\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (27-inch Late 2013)\\n\\n
\\nIntel Core i5-4570 3200 MHz\\n(4 cores)\\n
\\n
\\n11246\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (17-inch Late 2011)\\n\\n
\\nIntel Core i7-2860QM 2500 MHz\\n(4 cores)\\n
\\n
\\n10997\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (21.5-inch Late 2013)\\n\\n
\\nIntel Core i5-4570S 2900 MHz\\n(4 cores)\\n
\\n
\\n10699\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Late 2011)\\n\\n
\\nIntel Core i7-2860QM 2500 MHz\\n(4 cores)\\n
\\n
\\n10652\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (17-inch Late 2011)\\n\\n
\\nIntel Core i7-2760QM 2400 MHz\\n(4 cores)\\n
\\n
\\n10364\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (27-inch Late 2012)\\n\\n
\\nIntel Core i5-3470 3200 MHz\\n(4 cores)\\n
\\n
\\n10320\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Late 2011)\\n\\n
\\nIntel Core i7-2760QM 2400 MHz\\n(4 cores)\\n
\\n
\\n10320\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (21.5-inch Late 2013)\\n\\n
\\nIntel Core i5-4570R 2700 MHz\\n(4 cores)\\n
\\n
\\n10199\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (21.5-inch Mid 2011)\\n\\n
\\nIntel Core i7-2600S 2800 MHz\\n(4 cores)\\n
\\n
\\n10118\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Early 2011)\\n\\n
\\nIntel Core i7-2820QM 2300 MHz\\n(4 cores)\\n
\\n
\\n10087\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (17-inch Early 2011)\\n\\n
\\nIntel Core i7-2820QM 2300 MHz\\n(4 cores)\\n
\\n
\\n10006\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (21.5-inch Late 2012)\\n\\n
\\nIntel Core i5-3470S 2900 MHz\\n(4 cores)\\n
\\n
\\n9972\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (27-inch Late 2012)\\n\\n
\\nIntel Core i5-3470S 2900 MHz\\n(4 cores)\\n
\\n
\\n9887\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (17-inch Early 2011)\\n\\n
\\nIntel Core i7-2720QM 2200 MHz\\n(4 cores)\\n
\\n
\\n9749\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Early 2011)\\n\\n
\\nIntel Core i7-2720QM 2200 MHz\\n(4 cores)\\n
\\n
\\n9697\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Mid 2010)\\n\\n
\\nIntel Xeon W3565 3200 MHz\\n(4 cores)\\n
\\n
\\n9477\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Late 2011)\\n\\n
\\nIntel Core i7-2675QM 2200 MHz\\n(4 cores)\\n
\\n
\\n9420\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (27-inch Mid 2010)\\n\\n
\\nIntel Core i7-870 2930 MHz\\n(4 cores)\\n
\\n
\\n8874\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Early 2011)\\n\\n
\\nIntel Core i7-2635QM 2000 MHz\\n(4 cores)\\n
\\n
\\n8862\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (21.5-inch Late 2012)\\n\\n
\\nIntel Core i5-3335S 2700 MHz\\n(4 cores)\\n
\\n
\\n8811\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (27-inch Mid 2011)\\n\\n
\\nIntel Core i5-2400 3100 MHz\\n(4 cores)\\n
\\n
\\n8767\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Early 2009)\\n\\n
\\nIntel Xeon W3540 2930 MHz\\n(4 cores)\\n
\\n
\\n8746\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Mid 2011)\\n\\n
\\nIntel Core i7-2635QM 2000 MHz\\n(4 cores)\\n
\\n
\\n8578\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Mid 2010)\\n\\n
\\nIntel Xeon W3530 2800 MHz\\n(4 cores)\\n
\\n
\\n8451\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (27-inch Late 2009)\\n\\n
\\nIntel Core i7-860 2800 MHz\\n(4 cores)\\n
\\n
\\n8225\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Early 2009)\\n\\n
\\nIntel Xeon W3520 2670 MHz\\n(4 cores)\\n
\\n
\\n8055\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (21.5-inch Mid 2011)\\n\\n
\\nIntel Core i5-2500S 2700 MHz\\n(4 cores)\\n
\\n
\\n7898\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (27-inch Mid 2011)\\n\\n
\\nIntel Core i5-2500S 2700 MHz\\n(4 cores)\\n
\\n
\\n7664\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Retina Early 2015)\\n\\n
\\nIntel Core i7-5557U 3100 MHz\\n(2 cores)\\n
\\n
\\n7348\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (21.5-inch Mid 2011)\\n\\n
\\nIntel Core i5-2400S 2500 MHz\\n(4 cores)\\n
\\n
\\n7322\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Retina Early 2015)\\n\\n
\\nIntel Core i5-5287U 2900 MHz\\n(2 cores)\\n
\\n
\\n7244\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Retina Mid 2014)\\n\\n
\\nIntel Core i7-4578U 3000 MHz\\n(2 cores)\\n
\\n
\\n7159\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Late 2014)\\n\\n
\\nIntel Core i7-4578U 3000 MHz\\n(2 cores)\\n
\\n
\\n7127\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Late 2014)\\n\\n
\\nIntel Core i5-4308U 2800 MHz\\n(2 cores)\\n
\\n
\\n6989\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (27-inch Mid 2010)\\n\\n
\\nIntel Core i5-760 2800 MHz\\n(4 cores)\\n
\\n
\\n6882\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Retina Early 2015)\\n\\n
\\nIntel Core i5-5257U 2700 MHz\\n(2 cores)\\n
\\n
\\n6878\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Retina Late 2013)\\n\\n
\\nIntel Core i7-4558U 2800 MHz\\n(2 cores)\\n
\\n
\\n6877\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (11-inch Early 2015)\\n\\n
\\nIntel Core i7-5650U 2200 MHz\\n(2 cores)\\n
\\n
\\n6866\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Retina Mid 2014)\\n\\n
\\nIntel Core i5-4308U 2800 MHz\\n(2 cores)\\n
\\n
\\n6861\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (13-inch Early 2015)\\n\\n
\\nIntel Core i7-5650U 2200 MHz\\n(2 cores)\\n
\\n
\\n6856\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Mid 2012)\\n\\n
\\nIntel Core i7-3520M 2900 MHz\\n(2 cores)\\n
\\n
\\n6737\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Retina Early 2013)\\n\\n
\\nIntel Core i7-3540M 3000 MHz\\n(2 cores)\\n
\\n
\\n6726\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Retina)\\n\\n
\\nIntel Core i7-3520M 2900 MHz\\n(2 cores)\\n
\\n
\\n6604\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Late 2014)\\n\\n
\\nIntel Core i5-4278U 2600 MHz\\n(2 cores)\\n
\\n
\\n6585\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Retina Late 2013)\\n\\n
\\nIntel Core i5-4288U 2600 MHz\\n(2 cores)\\n
\\n
\\n6567\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Retina Mid 2014)\\n\\n
\\nIntel Core i5-4278U 2600 MHz\\n(2 cores)\\n
\\n
\\n6529\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (27-inch Late 2009)\\n\\n
\\nIntel Core i5-750 2670 MHz\\n(4 cores)\\n
\\n
\\n6515\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (11-inch Mid 2013)\\n\\n
\\nIntel Core i7-4650U 1700 MHz\\n(2 cores)\\n
\\n
\\n6203\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (13-inch Mid 2013)\\n\\n
\\nIntel Core i7-4650U 1700 MHz\\n(2 cores)\\n
\\n
\\n6171\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Retina Late 2013)\\n\\n
\\nIntel Core i5-4258U 2400 MHz\\n(2 cores)\\n
\\n
\\n6169\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (11-inch Mid 2012)\\n\\n
\\nIntel Core i7-3667U 2000 MHz\\n(2 cores)\\n
\\n
\\n5924\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro\\n\\n
\\nIntel Xeon 5160 3000 MHz\\n(4 cores)\\n
\\n
\\n5876\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Retina Early 2013)\\n\\n
\\nIntel Core i5-3230M 2600 MHz\\n(2 cores)\\n
\\n
\\n5844\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (13-inch Mid 2012)\\n\\n
\\nIntel Core i7-3667U 2000 MHz\\n(2 cores)\\n
\\n
\\n5820\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Late 2011)\\n\\n
\\nIntel Core i7-2640M 2800 MHz\\n(2 cores)\\n
\\n
\\n5797\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (27-inch Mid 2010)\\n\\n
\\nIntel Core i5-680 3600 MHz\\n(2 cores)\\n
\\n
\\n5761\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Late 2012)\\n\\n
\\nIntel Core i5-3210M 2500 MHz\\n(2 cores)\\n
\\n
\\n5741\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Mid 2012)\\n\\n
\\nIntel Core i5-3210M 2500 MHz\\n(2 cores)\\n
\\n
\\n5741\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Mid 2011)\\n\\n
\\nIntel Core i7-2620M 2700 MHz\\n(2 cores)\\n
\\n
\\n5707\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro (Early 2008)\\n\\n
\\nIntel Xeon E5462 2800 MHz\\n(4 cores)\\n
\\n
\\n5678\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (11-inch Early 2015)\\n\\n
\\nIntel Core i5-5250U 1600 MHz\\n(2 cores)\\n
\\n
\\n5675\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Retina)\\n\\n
\\nIntel Core i5-3210M 2500 MHz\\n(2 cores)\\n
\\n
\\n5662\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (13-inch Early 2015)\\n\\n
\\nIntel Core i5-5250U 1600 MHz\\n(2 cores)\\n
\\n
\\n5636\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Early 2011)\\n\\n
\\nIntel Core i7-2620M 2700 MHz\\n(2 cores)\\n
\\n
\\n5579\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Late 2014)\\n\\n
\\nIntel Core i5-4260U 1400 MHz\\n(2 cores)\\n
\\n
\\n5341\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Mid 2011)\\n\\n
\\nIntel Core i5-2520M 2500 MHz\\n(2 cores)\\n
\\n
\\n5316\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (21.5-inch Mid 2014)\\n\\n
\\nIntel Core i5-4260U 1400 MHz\\n(2 cores)\\n
\\n
\\n5313\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook (Early 2015)\\n\\n
\\nIntel Core M-5Y71 1300 MHz\\n(2 cores)\\n
\\n
\\n5276\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (11-inch Early 2014)\\n\\n
\\nIntel Core i5-4260U 1400 MHz\\n(2 cores)\\n
\\n
\\n5270\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro\\n\\n
\\nIntel Xeon 5150 2660 MHz\\n(4 cores)\\n
\\n
\\n5256\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (13-inch Early 2014)\\n\\n
\\nIntel Core i5-4260U 1400 MHz\\n(2 cores)\\n
\\n
\\n5236\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (13-inch Mid 2012)\\n\\n
\\nIntel Core i5-3427U 1800 MHz\\n(2 cores)\\n
\\n
\\n5162\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook (Early 2015)\\n\\n
\\nIntel Core M-5Y51 1200 MHz\\n(2 cores)\\n
\\n
\\n5028\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (21.5 inch Late 2011)\\n\\n
\\nIntel Core i3-2100 3100 MHz\\n(2 cores)\\n
\\n
\\n5028\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Late 2011)\\n\\n
\\nIntel Core i5-2435M 2400 MHz\\n(2 cores)\\n
\\n
\\n5021\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (11-inch Mid 2013)\\n\\n
\\nIntel Core i5-4250U 1300 MHz\\n(2 cores)\\n
\\n
\\n5020\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (13-inch Mid 2013)\\n\\n
\\nIntel Core i5-4250U 1300 MHz\\n(2 cores)\\n
\\n
\\n5016\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (21.5-inch Mid 2010)\\n\\n
\\nIntel Core i5-680 3600 MHz\\n(2 cores)\\n
\\n
\\n4992\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (11-inch Mid 2012)\\n\\n
\\nIntel Core i5-3317U 1700 MHz\\n(2 cores)\\n
\\n
\\n4870\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Early 2011)\\n\\n
\\nIntel Core i5-2415M 2300 MHz\\n(2 cores)\\n
\\n
\\n4849\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Mid 2011)\\n\\n
\\nIntel Core i5-2415M 2300 MHz\\n(2 cores)\\n
\\n
\\n4826\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (17-inch Early 2010)\\n\\n
\\nIntel Core i7-640M 2800 MHz\\n(2 cores)\\n
\\n
\\n4767\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Early 2010)\\n\\n
\\nIntel Core i7-640M 2800 MHz\\n(2 cores)\\n
\\n
\\n4726\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (21.5-inch Mid 2010)\\n\\n
\\nIntel Core i3-550 3200 MHz\\n(2 cores)\\n
\\n
\\n4682\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (13-inch Mid 2011)\\n\\n
\\nIntel Core i7-2677M 1800 MHz\\n(2 cores)\\n
\\n
\\n4600\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Early 2010)\\n\\n
\\nIntel Core i7-620M 2670 MHz\\n(2 cores)\\n
\\n
\\n4590\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (11-inch Mid 2011)\\n\\n
\\nIntel Core i7-2677M 1800 MHz\\n(2 cores)\\n
\\n
\\n4548\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (17-inch Early 2010)\\n\\n
\\nIntel Core i7-620M 2670 MHz\\n(2 cores)\\n
\\n
\\n4536\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (27-inch Mid 2010)\\n\\n
\\nIntel Core i3-550 3200 MHz\\n(2 cores)\\n
\\n
\\n4532\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook (Early 2015)\\n\\n
\\nIntel Core M-5Y31 1100 MHz\\n(2 cores)\\n
\\n
\\n4462\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (21.5-inch Mid 2010)\\n\\n
\\nIntel Core i3-540 3070 MHz\\n(2 cores)\\n
\\n
\\n4363\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (13-inch Mid 2011)\\n\\n
\\nIntel Core i5-2557M 1700 MHz\\n(2 cores)\\n
\\n
\\n4293\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Early 2010)\\n\\n
\\nIntel Core i5-540M 2530 MHz\\n(2 cores)\\n
\\n
\\n4279\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (17-inch Early 2010)\\n\\n
\\nIntel Core i5-540M 2530 MHz\\n(2 cores)\\n
\\n
\\n4181\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Early 2010)\\n\\n
\\nIntel Core i5-520M 2400 MHz\\n(2 cores)\\n
\\n
\\n4115\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac Pro\\n\\n
\\nIntel Xeon 5130 2000 MHz\\n(4 cores)\\n
\\n
\\n3940\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (11-inch Mid 2011)\\n\\n
\\nIntel Core i5-2467M 1601 MHz\\n(2 cores)\\n
\\n
\\n3729\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (Late 2009)\\n\\n
\\nIntel Core 2 Duo E8600 3330 MHz\\n(2 cores)\\n
\\n
\\n3550\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Mid 2009)\\n\\n
\\nIntel Core 2 Duo T9900 3060 MHz\\n(2 cores)\\n
\\n
\\n3190\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (Early 2009)\\n\\n
\\nIntel Core 2 Duo E8435 3060 MHz\\n(2 cores)\\n
\\n
\\n3176\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (Late 2009)\\n\\n
\\nIntel Core 2 Duo E7600 3060 MHz\\n(2 cores)\\n
\\n
\\n3158\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (Early 2009)\\n\\n
\\nIntel Core 2 Duo E8335 2930 MHz\\n(2 cores)\\n
\\n
\\n3125\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (Early 2008)\\n\\n
\\nIntel Core 2 Duo E8435 3060 MHz\\n(2 cores)\\n
\\n
\\n3073\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (17-inch Mid 2009)\\n\\n
\\nIntel Core 2 Duo T9900 3060 MHz\\n(2 cores)\\n
\\n
\\n3069\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (Early 2008)\\n\\n
\\nIntel Core 2 Duo E8235 2800 MHz\\n(2 cores)\\n
\\n
\\n3018\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (Late 2008)\\n\\n
\\nIntel Core 2 Duo T9800 2930 MHz\\n(2 cores)\\n
\\n
\\n2956\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Mid 2009)\\n\\n
\\nIntel Core 2 Duo T9600 2800 MHz\\n(2 cores)\\n
\\n
\\n2917\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (17-inch Early 2009)\\n\\n
\\nIntel Core 2 Duo T9800 2930 MHz\\n(2 cores)\\n
\\n
\\n2901\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (17-inch Mid 2009)\\n\\n
\\nIntel Core 2 Duo T9600 2800 MHz\\n(2 cores)\\n
\\n
\\n2897\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (Mid 2007)\\n\\n
\\nIntel Core 2 Extreme X7900 2800 MHz\\n(2 cores)\\n
\\n
\\n2896\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (Late 2008)\\n\\n
\\nIntel Core 2 Duo T9600 2800 MHz\\n(2 cores)\\n
\\n
\\n2889\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (Early 2009)\\n\\n
\\nIntel Core 2 Duo E8135 2660 MHz\\n(2 cores)\\n
\\n
\\n2838\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Mid 2009)\\n\\n
\\nIntel Core 2 Duo P8800 2660 MHz\\n(2 cores)\\n
\\n
\\n2782\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (Late 2008)\\n\\n
\\nIntel Core 2 Duo T9550 2660 MHz\\n(2 cores)\\n
\\n
\\n2763\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Early 2010)\\n\\n
\\nIntel Core 2 Duo P8800 2660 MHz\\n(2 cores)\\n
\\n
\\n2682\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Early 2010)\\n\\n
\\nIntel Core 2 Duo P8800 2660 MHz\\n(2 cores)\\n
\\n
\\n2674\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (17-inch Early 2009)\\n\\n
\\nIntel Core 2 Duo T9550 2660 MHz\\n(2 cores)\\n
\\n
\\n2655\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (15-inch Mid 2009)\\n\\n
\\nIntel Core 2 Duo P8700 2530 MHz\\n(2 cores)\\n
\\n
\\n2651\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Late 2009)\\n\\n
\\nIntel Core 2 Duo P8700 2530 MHz\\n(2 cores)\\n
\\n
\\n2629\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (Late 2008)\\n\\n
\\nIntel Core 2 Duo T9400 2530 MHz\\n(2 cores)\\n
\\n
\\n2617\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Mid 2009)\\n\\n
\\nIntel Core 2 Duo P8700 2530 MHz\\n(2 cores)\\n
\\n
\\n2594\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (Early 2008)\\n\\n
\\nIntel Core 2 Duo T9500 2600 MHz\\n(2 cores)\\n
\\n
\\n2582\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook (Late 2008)\\n\\n
\\nIntel Core 2 Duo P8600 2400 MHz\\n(2 cores)\\n
\\n
\\n2514\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook (Mid 2010)\\n\\n
\\nIntel Core 2 Duo P8600 2400 MHz\\n(2 cores)\\n
\\n
\\n2489\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (Late 2008)\\n\\n
\\nIntel Core 2 Duo P8600 2400 MHz\\n(2 cores)\\n
\\n
\\n2483\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (Mid 2007)\\n\\n
\\nIntel Core 2 Duo T7700 2400 MHz\\n(2 cores)\\n
\\n
\\n2449\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Early 2010)\\n\\n
\\nIntel Core 2 Duo P8600 2400 MHz\\n(2 cores)\\n
\\n
\\n2446\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Early 2010)\\n\\n
\\nIntel Core 2 Duo P8600 2400 MHz\\n(2 cores)\\n
\\n
\\n2441\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (Early 2008)\\n\\n
\\nIntel Core 2 Duo T8300 2400 MHz\\n(2 cores)\\n
\\n
\\n2421\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (Early 2008)\\n\\n
\\nIntel Core 2 Duo T9300 2500 MHz\\n(2 cores)\\n
\\n
\\n2406\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook (Late 2009)\\n\\n
\\nIntel Core 2 Duo P7550 2260 MHz\\n(2 cores)\\n
\\n
\\n2402\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Mid 2009)\\n\\n
\\nIntel Core 2 Duo P7550 2260 MHz\\n(2 cores)\\n
\\n
\\n2377\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Late 2009)\\n\\n
\\nIntel Core 2 Duo P7550 2260 MHz\\n(2 cores)\\n
\\n
\\n2365\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (13-inch Mid 2009)\\n\\n
\\nIntel Core 2 Duo P8400 2260 MHz\\n(2 cores)\\n
\\n
\\n2343\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook (Early 2008)\\n\\n
\\nIntel Core 2 Duo T8300 2400 MHz\\n(2 cores)\\n
\\n
\\n2327\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Early 2009)\\n\\n
\\nIntel Core 2 Duo P8400 2260 MHz\\n(2 cores)\\n
\\n
\\n2276\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook (Early 2009)\\n\\n
\\nIntel Core 2 Duo P7450 2130 MHz\\n(2 cores)\\n
\\n
\\n2263\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (Mid 2007)\\n\\n
\\nIntel Core 2 Duo T7800 2600 MHz\\n(2 cores)\\n
\\n
\\n2254\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (24-inch)\\n\\n
\\nIntel Core 2 Duo T7400 2160 MHz\\n(2 cores)\\n
\\n
\\n2230\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (13-inch Late 2010)\\n\\n
\\nIntel Core 2 Duo L9600 2130 MHz\\n(2 cores)\\n
\\n
\\n2218\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (Core 2 Duo)\\n\\n
\\nIntel Core 2 Duo T7600 2330 MHz\\n(2 cores)\\n
\\n
\\n2176\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (Late 2006)\\n\\n
\\nIntel Core 2 Duo T7400 2160 MHz\\n(2 cores)\\n
\\n
\\n2147\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (Mid 2007)\\n\\n
\\nIntel Core 2 Duo T7700 2400 MHz\\n(2 cores)\\n
\\n
\\n2104\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook (Late 2008)\\n\\n
\\nIntel Core 2 Duo P7350 2000 MHz\\n(2 cores)\\n
\\n
\\n2094\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook (Early 2008)\\n\\n
\\nIntel Core 2 Duo T8100 2100 MHz\\n(2 cores)\\n
\\n
\\n2092\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Early 2009)\\n\\n
\\nIntel Core 2 Duo P7350 2000 MHz\\n(2 cores)\\n
\\n
\\n2067\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (Mid 2007)\\n\\n
\\nIntel Core 2 Duo T7300 2000 MHz\\n(2 cores)\\n
\\n
\\n2063\\n\\n
\\n \\n
\\n
\\n
\\n\\niMac (Late 2006)\\n\\n
\\nIntel Core 2 Duo T7200 2000 MHz\\n(2 cores)\\n
\\n
\\n2059\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Mid 2007)\\n\\n
\\nIntel Core 2 Duo T7200 2000 MHz\\n(2 cores)\\n
\\n
\\n2050\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook (Mid 2007)\\n\\n
\\nIntel Core 2 Duo T7400 2160 MHz\\n(2 cores)\\n
\\n
\\n2032\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook (Early 2009)\\n\\n
\\nIntel Core 2 Duo P7350 2000 MHz\\n(2 cores)\\n
\\n
\\n2030\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (Core 2 Duo)\\n\\n
\\nIntel Core 2 Duo T7400 2160 MHz\\n(2 cores)\\n
\\n
\\n2022\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (Mid 2007)\\n\\n
\\nIntel Core 2 Duo T7500 2200 MHz\\n(2 cores)\\n
\\n
\\n1973\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook (Late 2007)\\n\\n
\\nIntel Core 2 Duo T7300 2000 MHz\\n(2 cores)\\n
\\n
\\n1963\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (13-inch Late 2010)\\n\\n
\\nIntel Core 2 Duo L9400 1860 MHz\\n(2 cores)\\n
\\n
\\n1953\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook (Late 2007)\\n\\n
\\nIntel Core 2 Duo T7500 2200 MHz\\n(2 cores)\\n
\\n
\\n1930\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook (Late 2006)\\n\\n
\\nIntel Core 2 Duo T7200 2000 MHz\\n(2 cores)\\n
\\n
\\n1920\\n\\n
\\n \\n
\\n
\\n
\\n\\nMac mini (Mid 2007)\\n\\n
\\nIntel Core 2 Duo T5600 1830 MHz\\n(2 cores)\\n
\\n
\\n1825\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Pro (17-inch Core 2 Duo)\\n\\n
\\nIntel Core 2 Duo T7600 2330 MHz\\n(2 cores)\\n
\\n
\\n1755\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (11-inch Late 2010)\\n\\n
\\nIntel Core 2 Duo U9600 1600 MHz\\n(2 cores)\\n
\\n
\\n1659\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (Late 2008)\\n\\n
\\nIntel Core 2 Duo L9400 1860 MHz\\n(2 cores)\\n
\\n
\\n1543\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (11-inch Late 2010)\\n\\n
\\nIntel Core 2 Duo U9400 1400 MHz\\n(2 cores)\\n
\\n
\\n1493\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air (Mid 2009)\\n\\n
\\nIntel Core 2 Duo L9600 2130 MHz\\n(2 cores)\\n
\\n
\\n1465\\n\\n
\\n \\n
\\n
\\n
\\n\\nMacBook Air\\n\\n
\\nIntel Core 2 Duo P7500 1600 MHz\\n(2 cores)\\n
\\n
\\n1286\\n\\n
\\n \\n
\\n
\\n\\n
\\n
\\n
\\n\\n\\n
\\n
\\n
\\n
    \\n
  • Compare
  • \\n
  • Processor Benchmarks
  • \\n
  • Mac Benchmarks
  • \\n
  • iOS Benchmarks
  • \\n
  • Android Benchmarks
  • \\n
  • Blackberry Benchmarks
  • \\n
  • Battery Benchmarks
  • \\n
  • Share
  • \\n
  • \\nTweet\\n\\n
  • \\n
  • \\n\\n\\n\\n\\n
  • \\n
  • \\n\\n
  • \\n
\\n
\\n\\n\\n
\\n
\\n\\n\\n\\n\\n
\\n
\\n
\\n
\\n
\\n\\n\\n
\\n\\n\\n'" ] }, "execution_count": 50, "metadata": {}, "output_type": "execute_result" } ], "source": [ "res.text" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "# 13. 數據分析 pandas\n", "\n", "著名的數據分析套件" ] }, { "cell_type": "code", "execution_count": 51, "metadata": { "collapsed": true }, "outputs": [], "source": [ "import pandas as pd" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 讀進網頁資訊\n", "\n", "我們把網頁資訊讀入, pandas 會自己找出一個個表格!" ] }, { "cell_type": "code", "execution_count": 52, "metadata": { "collapsed": true, "slideshow": { "slide_type": "-" } }, "outputs": [], "source": [ "dfs = pd.read_html(res.text)" ] }, { "cell_type": "code", "execution_count": 53, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/html": [ "
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MacScoreUnnamed: 2
0Mac Pro (Late 2013) Intel Xeon E5-2697 v2 2700...32219NaN
1Mac Pro (Mid 2012) Intel Xeon X5675 3070 MHz (...27779NaN
2Mac Pro (Mid 2010) Intel Xeon X5670 2930 MHz (...26918NaN
3Mac Pro (Late 2013) Intel Xeon E5-1680 v2 3000...25503NaN
4Mac Pro (Mid 2010) Intel Xeon X5650 2670 MHz (...25088NaN
5Mac Pro (Mid 2012) Intel Xeon E5645 2400 MHz (...22112NaN
6Mac Pro (Late 2013) Intel Xeon E5-1650 v2 3500...20663NaN
7Xserve (Early 2009) Intel Xeon X5570 2930 MHz ...17814NaN
8Mac Pro (Early 2009) Intel Xeon X5570 2930 MHz...17749NaN
9iMac (27-inch Retina) Intel Core i7-4790K 4000...16642NaN
10Mac Pro (Early 2009) Intel Xeon X5550 2670 MHz...16527NaN
11Mac Pro (Mid 2010) Intel Xeon E5620 2400 MHz (...15565NaN
12Mac Pro (Mid 2010) Intel Xeon W3680 3330 MHz (...15519NaN
13iMac (27-inch Late 2013) Intel Core i7-4771 35...14766NaN
14MacBook Pro (15-inch Retina Mid 2015) Intel Co...14744NaN
15MacBook Pro (15-inch Retina Mid 2014) Intel Co...14598NaN
16Mac Pro (Late 2013) Intel Xeon E5-1620 v2 3700...14317NaN
17MacBook Pro (15-inch Retina Late 2013) Intel C...14288NaN
18iMac (21.5-inch Late 2013) Intel Core i7-4770S...14126NaN
19MacBook Pro (15-inch Retina Mid 2014) Intel Co...13939NaN
20iMac (27-inch Late 2012) Intel Core i7-3770 34...13908NaN
21MacBook Pro (15-inch Retina Mid 2015) Intel Co...13904NaN
22Mac Pro (Early 2009) Intel Xeon E5520 2270 MHz...13801NaN
23Xserve (Early 2009) Intel Xeon E5520 2270 MHz ...13701NaN
24MacBook Pro (15-inch Retina Late 2013) Intel C...13340NaN
25iMac (21.5-inch Late 2012) Intel Core i7-3770S...13227NaN
26MacBook Pro (15-inch Retina Early 2013) Intel ...13126NaN
27MacBook Pro (15-inch Mid 2012) Intel Core i7-3...13089NaN
28MacBook Pro (15-inch Retina Mid 2014) Intel Co...12967NaN
29MacBook Pro (15-inch Retina Mid 2015) Intel Co...12963NaN
............
184MacBook (Early 2008) Intel Core 2 Duo T8300 24...2327NaN
185Mac mini (Early 2009) Intel Core 2 Duo P8400 2...2276NaN
186MacBook (Early 2009) Intel Core 2 Duo P7450 21...2263NaN
187MacBook Pro (Mid 2007) Intel Core 2 Duo T7800 ...2254NaN
188iMac (24-inch) Intel Core 2 Duo T7400 2160 MHz...2230NaN
189MacBook Air (13-inch Late 2010) Intel Core 2 D...2218NaN
190MacBook Pro (Core 2 Duo) Intel Core 2 Duo T760...2176NaN
191iMac (Late 2006) Intel Core 2 Duo T7400 2160 M...2147NaN
192MacBook Pro (Mid 2007) Intel Core 2 Duo T7700 ...2104NaN
193MacBook (Late 2008) Intel Core 2 Duo P7350 200...2094NaN
194MacBook (Early 2008) Intel Core 2 Duo T8100 21...2092NaN
195Mac mini (Early 2009) Intel Core 2 Duo P7350 2...2067NaN
196iMac (Mid 2007) Intel Core 2 Duo T7300 2000 MH...2063NaN
197iMac (Late 2006) Intel Core 2 Duo T7200 2000 M...2059NaN
198Mac mini (Mid 2007) Intel Core 2 Duo T7200 200...2050NaN
199MacBook (Mid 2007) Intel Core 2 Duo T7400 2160...2032NaN
200MacBook (Early 2009) Intel Core 2 Duo P7350 20...2030NaN
201MacBook Pro (Core 2 Duo) Intel Core 2 Duo T740...2022NaN
202MacBook Pro (Mid 2007) Intel Core 2 Duo T7500 ...1973NaN
203MacBook (Late 2007) Intel Core 2 Duo T7300 200...1963NaN
204MacBook Air (13-inch Late 2010) Intel Core 2 D...1953NaN
205MacBook (Late 2007) Intel Core 2 Duo T7500 220...1930NaN
206MacBook (Late 2006) Intel Core 2 Duo T7200 200...1920NaN
207Mac mini (Mid 2007) Intel Core 2 Duo T5600 183...1825NaN
208MacBook Pro (17-inch Core 2 Duo) Intel Core 2 ...1755NaN
209MacBook Air (11-inch Late 2010) Intel Core 2 D...1659NaN
210MacBook Air (Late 2008) Intel Core 2 Duo L9400...1543NaN
211MacBook Air (11-inch Late 2010) Intel Core 2 D...1493NaN
212MacBook Air (Mid 2009) Intel Core 2 Duo L9600 ...1465NaN
213MacBook Air Intel Core 2 Duo P7500 1600 MHz (2...1286NaN
\n", "

214 rows × 3 columns

\n", "
" ], "text/plain": [ " Mac Score Unnamed: 2\n", "0 Mac Pro (Late 2013) Intel Xeon E5-2697 v2 2700... 32219 NaN\n", "1 Mac Pro (Mid 2012) Intel Xeon X5675 3070 MHz (... 27779 NaN\n", "2 Mac Pro (Mid 2010) Intel Xeon X5670 2930 MHz (... 26918 NaN\n", "3 Mac Pro (Late 2013) Intel Xeon E5-1680 v2 3000... 25503 NaN\n", "4 Mac Pro (Mid 2010) Intel Xeon X5650 2670 MHz (... 25088 NaN\n", "5 Mac Pro (Mid 2012) Intel Xeon E5645 2400 MHz (... 22112 NaN\n", "6 Mac Pro (Late 2013) Intel Xeon E5-1650 v2 3500... 20663 NaN\n", "7 Xserve (Early 2009) Intel Xeon X5570 2930 MHz ... 17814 NaN\n", "8 Mac Pro (Early 2009) Intel Xeon X5570 2930 MHz... 17749 NaN\n", "9 iMac (27-inch Retina) Intel Core i7-4790K 4000... 16642 NaN\n", "10 Mac Pro (Early 2009) Intel Xeon X5550 2670 MHz... 16527 NaN\n", "11 Mac Pro (Mid 2010) Intel Xeon E5620 2400 MHz (... 15565 NaN\n", "12 Mac Pro (Mid 2010) Intel Xeon W3680 3330 MHz (... 15519 NaN\n", "13 iMac (27-inch Late 2013) Intel Core i7-4771 35... 14766 NaN\n", "14 MacBook Pro (15-inch Retina Mid 2015) Intel Co... 14744 NaN\n", "15 MacBook Pro (15-inch Retina Mid 2014) Intel Co... 14598 NaN\n", "16 Mac Pro (Late 2013) Intel Xeon E5-1620 v2 3700... 14317 NaN\n", "17 MacBook Pro (15-inch Retina Late 2013) Intel C... 14288 NaN\n", "18 iMac (21.5-inch Late 2013) Intel Core i7-4770S... 14126 NaN\n", "19 MacBook Pro (15-inch Retina Mid 2014) Intel Co... 13939 NaN\n", "20 iMac (27-inch Late 2012) Intel Core i7-3770 34... 13908 NaN\n", "21 MacBook Pro (15-inch Retina Mid 2015) Intel Co... 13904 NaN\n", "22 Mac Pro (Early 2009) Intel Xeon E5520 2270 MHz... 13801 NaN\n", "23 Xserve (Early 2009) Intel Xeon E5520 2270 MHz ... 13701 NaN\n", "24 MacBook Pro (15-inch Retina Late 2013) Intel C... 13340 NaN\n", "25 iMac (21.5-inch Late 2012) Intel Core i7-3770S... 13227 NaN\n", "26 MacBook Pro (15-inch Retina Early 2013) Intel ... 13126 NaN\n", "27 MacBook Pro (15-inch Mid 2012) Intel Core i7-3... 13089 NaN\n", "28 MacBook Pro (15-inch Retina Mid 2014) Intel Co... 12967 NaN\n", "29 MacBook Pro (15-inch Retina Mid 2015) Intel Co... 12963 NaN\n", ".. ... ... ...\n", "184 MacBook (Early 2008) Intel Core 2 Duo T8300 24... 2327 NaN\n", "185 Mac mini (Early 2009) Intel Core 2 Duo P8400 2... 2276 NaN\n", "186 MacBook (Early 2009) Intel Core 2 Duo P7450 21... 2263 NaN\n", "187 MacBook Pro (Mid 2007) Intel Core 2 Duo T7800 ... 2254 NaN\n", "188 iMac (24-inch) Intel Core 2 Duo T7400 2160 MHz... 2230 NaN\n", "189 MacBook Air (13-inch Late 2010) Intel Core 2 D... 2218 NaN\n", "190 MacBook Pro (Core 2 Duo) Intel Core 2 Duo T760... 2176 NaN\n", "191 iMac (Late 2006) Intel Core 2 Duo T7400 2160 M... 2147 NaN\n", "192 MacBook Pro (Mid 2007) Intel Core 2 Duo T7700 ... 2104 NaN\n", "193 MacBook (Late 2008) Intel Core 2 Duo P7350 200... 2094 NaN\n", "194 MacBook (Early 2008) Intel Core 2 Duo T8100 21... 2092 NaN\n", "195 Mac mini (Early 2009) Intel Core 2 Duo P7350 2... 2067 NaN\n", "196 iMac (Mid 2007) Intel Core 2 Duo T7300 2000 MH... 2063 NaN\n", "197 iMac (Late 2006) Intel Core 2 Duo T7200 2000 M... 2059 NaN\n", "198 Mac mini (Mid 2007) Intel Core 2 Duo T7200 200... 2050 NaN\n", "199 MacBook (Mid 2007) Intel Core 2 Duo T7400 2160... 2032 NaN\n", "200 MacBook (Early 2009) Intel Core 2 Duo P7350 20... 2030 NaN\n", "201 MacBook Pro (Core 2 Duo) Intel Core 2 Duo T740... 2022 NaN\n", "202 MacBook Pro (Mid 2007) Intel Core 2 Duo T7500 ... 1973 NaN\n", "203 MacBook (Late 2007) Intel Core 2 Duo T7300 200... 1963 NaN\n", "204 MacBook Air (13-inch Late 2010) Intel Core 2 D... 1953 NaN\n", "205 MacBook (Late 2007) Intel Core 2 Duo T7500 220... 1930 NaN\n", "206 MacBook (Late 2006) Intel Core 2 Duo T7200 200... 1920 NaN\n", "207 Mac mini (Mid 2007) Intel Core 2 Duo T5600 183... 1825 NaN\n", "208 MacBook Pro (17-inch Core 2 Duo) Intel Core 2 ... 1755 NaN\n", "209 MacBook Air (11-inch Late 2010) Intel Core 2 D... 1659 NaN\n", "210 MacBook Air (Late 2008) Intel Core 2 Duo L9400... 1543 NaN\n", "211 MacBook Air (11-inch Late 2010) Intel Core 2 D... 1493 NaN\n", "212 MacBook Air (Mid 2009) Intel Core 2 Duo L9600 ... 1465 NaN\n", "213 MacBook Air Intel Core 2 Duo P7500 1600 MHz (2... 1286 NaN\n", "\n", "[214 rows x 3 columns]" ] }, "execution_count": 53, "metadata": {}, "output_type": "execute_result" } ], "source": [ "dfs[3]" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 只想看機型和分數" ] }, { "cell_type": "code", "execution_count": 54, "metadata": { "collapsed": true }, "outputs": [], "source": [ "df = dfs[3][[\"Mac\", \"Score\"]]" ] }, { "cell_type": "code", "execution_count": 55, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/html": [ "
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MacScore
0Mac Pro (Late 2013) Intel Xeon E5-2697 v2 2700...32219
1Mac Pro (Mid 2012) Intel Xeon X5675 3070 MHz (...27779
2Mac Pro (Mid 2010) Intel Xeon X5670 2930 MHz (...26918
3Mac Pro (Late 2013) Intel Xeon E5-1680 v2 3000...25503
4Mac Pro (Mid 2010) Intel Xeon X5650 2670 MHz (...25088
\n", "
" ], "text/plain": [ " Mac Score\n", "0 Mac Pro (Late 2013) Intel Xeon E5-2697 v2 2700... 32219\n", "1 Mac Pro (Mid 2012) Intel Xeon X5675 3070 MHz (... 27779\n", "2 Mac Pro (Mid 2010) Intel Xeon X5670 2930 MHz (... 26918\n", "3 Mac Pro (Late 2013) Intel Xeon E5-1680 v2 3000... 25503\n", "4 Mac Pro (Mid 2010) Intel Xeon X5650 2670 MHz (... 25088" ] }, "execution_count": 55, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.head()" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 只看前十名成績!" ] }, { "cell_type": "code", "execution_count": 56, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 56, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "df.ix[:10].plot(kind='bar')" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 延伸學習\n", "\n", "Julia Evans 是加拿大一位專業資料分析師, 她用實際的例子介紹 Pandas (還有 IPython!) 簡短有趣, 非常推薦!\n", "\n", "[Diving into Open Data with IPython & Pandas (YouTube)](http://youtu.be/rEalbu8UGeo)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "# 14. 快速簡單 GUI 界面!!\n", "\n", "我們來介紹 IPython 2.0 起非常炫的互動功能。" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 互動開始!" ] }, { "cell_type": "code", "execution_count": 57, "metadata": { "collapsed": false }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ ":0: FutureWarning: IPython widgets are experimental and may change in the future.\n" ] } ], "source": [ "from IPython.html.widgets import interact" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 隨便來個函數\n", "\n", "然後就等著互動!!" ] }, { "cell_type": "code", "execution_count": 58, "metadata": { "collapsed": true }, "outputs": [], "source": [ "def f(x):\n", " print x" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## interact!!" ] }, { "cell_type": "code", "execution_count": 59, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "3\n" ] } ], "source": [ "interact(f, x=3);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "有趣的是, 我們改變 x 的定法, 就可以有不同 GUI 界面! 試試:\n", "\n", "* x=3.\n", "* x=(1,15)\n", "* x=u\"你好\"\n", "* x=[u\"台南\", u\"台北\"]\n", "* x={u\"台南\":\"01\", u\"台北\":\"04\"}" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 換個函數\n", "\n", "我們來個「認真點」的函數。" ] }, { "cell_type": "code", "execution_count": 60, "metadata": { "collapsed": true }, "outputs": [], "source": [ "def move(x):\n", " print \" \"*x + \"ooo\"" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 簡簡單單讓它動!" ] }, { "cell_type": "code", "execution_count": 61, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " ooo\n" ] } ], "source": [ "interact(move, x=(0,40));" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "# 15. 認真來數據分析" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 基本上就是學函數\n", "\n", "用數學的角度來說, 資料分析大概可以看成「找函數」的工作。\n", "\n", " f(x) = y" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## [例子]\n", "\n", "輸入一個時間 x, 我就出現那個時間台南大學的溫度。\n", "\n", " f(x) = 在 x 時台南大學的溫度" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## [例子]\n", "\n", "某公司做客戶分析, 把客戶分成三類:\n", "\n", "* 1: 不用花什麼力氣就是我們忠實粉絲\n", "* 2: 有可能成為客戶但要努力說服\n", "* 3: 別傻了, 這人不會理我們的\n", "\n", "我們自然希望把某一個人 x 放進我們的神秘函數, 函數就告訴我們他是哪一類的人:\n", "\n", " f(x) = x 這個人是哪一類\n", " \n", "很棒吧? 等等, x 這個人電腦怎麼「輸入」? 所以我們會用某些可量化數據方式表式, 例如:\n", "\n", " x = {'血型':'O', '星座':'射手座', 'A產品':27, \n", " 'B產品':0, ...}\n", " \n", "耶, 血型星座不是數字啊, 但我們可以用 1 表 A 型, 2 表 B 型, 等等。所以 x 總結可能是一個 list:\n", "\n", " x = [3, 1, 27, 0, ...]" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## [例子]\n", "\n", "於是我們知道, 人可以「輸入」後, 世界又更寛廣了。比方說我們還可以做個「配對函數」, 輸入 x, y 兩個人, 得到:\n", "\n", " f(x,y) = x 和 y 的素配指數" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## [型式]\n", "\n", "基本上我們學函數大約有兩種方式:\n", "\n", "1. regression (迴歸)\n", "2. interpolation (插值)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "# 16. 假數據, 真迴歸" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 來學這個函數\n", "\n", "我們假設真實世界某個現象的「理想函數」長這樣:\n", "\n", "$$f(x) = 1.2x + 0.8$$" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 模擬 50 個學習數據\n", "\n", "就像真實的世界, 我們加入 noise。" ] }, { "cell_type": "code", "execution_count": 62, "metadata": { "collapsed": true }, "outputs": [], "source": [ "x = linspace(0,5,50)\n", "y = 1.2*x + 0.8 + randn(50)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 看看我們的數據\n", "\n", "看看我們目前取的點, 附上「完全正確的」函數。" ] }, { "cell_type": "code", "execution_count": 63, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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OzkpgKTAVtxvIImC614MExCQIvwVn9MKVBhMTUHmKzzWJSOnKOTv3B+5PeXxB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\nRDzx/9GqpTykJl1bAAAAAElFTkSuQmCC\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "scatter(x,y)\n", "plot(x,1.2*x + 0.8,'b');" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 用 SciPy 來迴歸\n", "\n", "線性迴歸很多套件會做, 我們這裡介紹的方法好處是你只要預想好這些資料長得很像什麼函數, 我們都可以迴歸! 不一定要線性函數!\n", "在我們線性的例子很容易。我們先做一個目標函數\n", "\n", "$$f(x) = ax + b$$\n", "\n", "再來算 a, b 這樣。" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 使用 SciPy\n", "\n", "這裡用了 SciPy 曲線逼近的函數, 並且設定我們要的函數型式。" ] }, { "cell_type": "code", "execution_count": 64, "metadata": { "collapsed": true }, "outputs": [], "source": [ "from scipy.optimize import curve_fit" ] }, { "cell_type": "code", "execution_count": 65, "metadata": { "collapsed": true }, "outputs": [], "source": [ "def f(x, a, b):\n", " return a*x + b" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 真正逼近!\n", "\n", "我們「學習的資料」就是剛剛的 x, y。傳回的 popt 這裡就是最小平方法下得到的 a, b。" ] }, { "cell_type": "code", "execution_count": 66, "metadata": { "collapsed": true }, "outputs": [], "source": [ "popt, pcov = curve_fit(f, x, y)" ] }, { "cell_type": "code", "execution_count": 67, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "array([ 1.14643108, 0.72078469])" ] }, "execution_count": 67, "metadata": {}, "output_type": "execute_result" } ], "source": [ "popt" ] }, { "cell_type": "code", "execution_count": 68, "metadata": { "collapsed": true }, "outputs": [], "source": [ "a, b = popt" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 畫出結果\n", "\n", "紅色是我們模擬出來的, 藍色是「理想狀況函數」。" ] }, { "cell_type": "code", "execution_count": 69, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "scatter(x,y)\n", "plot(x,1.2*x + 0.8,'b',label=\"original\")\n", "plot(x, a*x + b, 'r',label=\"fit\")\n", "ax = gca()\n", "ax.legend();" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "# 17. 插值法" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 插值法通常要完全命中\n", "\n", "我們來準備個要完全命中的函數:\n", " \n", "$$f(x) = \\sin(x) + 0.5x$$" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 準備訓練數據\n", "\n", "我們準備 15 筆訓練數據, 但為了畫圖, 再做一個叫 `xx` 的 array, 包含 100 個 x 軸上的點。" ] }, { "cell_type": "code", "execution_count": 70, "metadata": { "collapsed": true }, "outputs": [], "source": [ "x = linspace(0, 10, 15)\n", "y = sin(x) + 0.5 * x" ] }, { "cell_type": "code", "execution_count": 71, "metadata": { "collapsed": true }, "outputs": [], "source": [ "xx = linspace(0, 10, 100)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 照例畫個圖" ] }, { "cell_type": "code", "execution_count": 72, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "scatter(x, y, s=50)\n", "plot(xx, sin(xx) + 0.5*xx, 'b');" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 記得插值法要全部命中!!\n", "\n", "但其實全部命中其實不是什麼了不起的事..." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 做個函數展示" ] }, { "cell_type": "code", "execution_count": 73, "metadata": { "collapsed": true }, "outputs": [], "source": [ "def draw(a):\n", " scatter(x, y, s=50)\n", " xxx = linspace(0, 10, 1000)\n", " plot(xxx, 3.2*sin(a*xxx)+3, 'r');" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 全部命中..." ] }, { "cell_type": "code", "execution_count": 74, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "interact(draw, a=(1,100));" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 通常指定不要太多曲折\n", "\n", "我們準備再呼叫一下 SciPy 來做 \"Cubic Spline\" 的插值法!" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## SciPy 的插值法套件" ] }, { "cell_type": "code", "execution_count": 75, "metadata": { "collapsed": true }, "outputs": [], "source": [ "from scipy.interpolate import interp1d" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 指定要 cubic!" ] }, { "cell_type": "code", "execution_count": 76, "metadata": { "collapsed": true }, "outputs": [], "source": [ "f = interp1d(x, y, kind='cubic')" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 這就學成了" ] }, { "cell_type": "code", "execution_count": 77, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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3nSO7yO3ZwcVF+6Eg5tA3M2jPDNoHvysIrhcRCYvM4GJFK347zTKQ328EjaZp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\nYII=\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "scatter(x, y, s=50)\n", "plot(xx, sin(xx) + 0.5*xx, 'b') # 真正的\n", "plot(xx, f(xx), 'r');" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "# 18. 機器學習之 SVM" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 兩種機器學習方式\n", "\n", "在機器學習的分類 (其實也是一個學函數的過程) 大致有\n", "\n", "* supervised learning (監督式學習)\n", "* unsupervised learning (非監督式學習)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## SVM 支持向量機\n", "\n", "SVM (Support Vector Machines) 是用直線、曲線、平面、曲面等等把各類資料分開的方式。" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## [例子]\n", "\n", "第一類:\n", "(-1, -1), (-2, -1)\n", "\n", "第二類:\n", "(1, 1), (2, 1)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 教一下 Python\n", "\n", "告訴 Python 哪些點是第一類, 哪些是第二類。" ] }, { "cell_type": "code", "execution_count": 78, "metadata": { "collapsed": true }, "outputs": [], "source": [ "X = array([[-1, -1], [-2, -1], [1, 1], [2, 1]])\n", "Y = array([1, 1, 2, 2])" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 畫個圖看看" ] }, { "cell_type": "code", "execution_count": 79, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "scatter(X[:,0], X[:,1],s=50,c=Y);" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 動用有名的 SciKit-leran!\n", "\n", "機器學習的重要套件" ] }, { "cell_type": "code", "execution_count": 80, "metadata": { "collapsed": true }, "outputs": [], "source": [ "from sklearn.svm import SVC" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 打開一個「學習機」\n", "\n", "打開一個「學習機」, 然後真的餵我們的訓練資料去學習!" ] }, { "cell_type": "code", "execution_count": 81, "metadata": { "collapsed": true }, "outputs": [], "source": [ "clf = SVC()" ] }, { "cell_type": "code", "execution_count": 82, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "SVC(C=1.0, cache_size=200, class_weight=None, coef0=0.0, degree=3, gamma=0.0,\n", " kernel='rbf', max_iter=-1, probability=False, random_state=None,\n", " shrinking=True, tol=0.001, verbose=False)" ] }, "execution_count": 82, "metadata": {}, "output_type": "execute_result" } ], "source": [ "clf.fit(X,Y)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 「預測」沒學過的" ] }, { "cell_type": "code", "execution_count": 83, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "array([1])" ] }, "execution_count": 83, "metadata": {}, "output_type": "execute_result" } ], "source": [ "clf.predict([[-0.8,-1]])" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 餵一堆資料預測" ] }, { "cell_type": "code", "execution_count": 84, "metadata": { "collapsed": true }, "outputs": [], "source": [ "gd = array([[i,j] for i in arange(-2.5, 2.5, 0.2) \n", " for j in arange(-2.5, 2.5, 0.2)])" ] }, { "cell_type": "code", "execution_count": 85, "metadata": { "collapsed": true }, "outputs": [], "source": [ "gdc = clf.predict(gd)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 畫出來看看" ] }, { "cell_type": "code", "execution_count": 86, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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eMAeXRgjYd0Hv0+G0aOO3lgBuS8C+i2mk2QGRa6H9D+AiRb0wh6RFNv0K8qra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\nDRB+Hc5vrG7OXYQud2JDjFrXguDH4oQGK7YYCcxpgETsHiX4DhyVkIWsM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aG/lFDOOgep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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "scatter(gd[:,0], gd[:,1], s=50, c=gdc);" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 生出像樣點的「假資料」\n", "\n", "剛剛的例子太簡單, 我們照例來生生假的訓練資料。sciket-leran 居然也想到要幫我們做這件事。" ] }, { "cell_type": "code", "execution_count": 87, "metadata": { "collapsed": true }, "outputs": [], "source": [ "from sklearn.datasets import make_classification" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 隨便分\n", "\n", "在平面上隨便取點分三類。" ] }, { "cell_type": "code", "execution_count": 88, "metadata": { "collapsed": true }, "outputs": [], "source": [ "X, Y = make_classification(n_features=2, n_redundant=0, n_informative=2, \n", " n_clusters_per_class=1, n_classes=3)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 照例畫個圖" ] }, { "cell_type": "code", "execution_count": 89, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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JZW3N2gZMTm7zJKn6koOYidPRSDWW3bz4Rn+DjvUPH1z53ir3m9un7DKDZivE\nTrLHI7+RZjxvm/Z1vgyfHc2KaB5DmxzNjt4KHEp24yQpSeQgZnWhB/TbT7qjj1YweAN0H91NSWue\nlg4MTU7LjsoP9AZOrOL7hGM5sdvsiN0wuDfY24rYTaLZ0VHI4C1JRyUDeIJoPk/Hxr0b60WPK4pC\n095NVKB1gpqiAj2Bk4hftBlA0QP6Y5pf21enbcYMX13fCm+6dzXQr4rbFkSs6M2q4vtIUq0gd6VP\nEDNsrdgxb+cZ3a7sWihouq7Ljp92uMC6BDTjIiNVf82b7k3xeDUnd2+u69ruw3bUfrngg/QU/fE6\nbTIevPzLUSn12tXFsR1++Xh1p8m3fP2jFbJ6IerfHKsuwEWIzUC+AZZV4FqSdFyTOfDEaaMHtF+v\nm3mtv9lJTQ8fXPDvhc6M/5u1KZYT60DVrlod5E03vr1i0qhAq0GtUBSFvav28eHwj0O5e3Jvd203\nf9VjiubT9t32662Bum3rFLrADw9Ntxb9d/EbZtC87RjurxrwpgKX9wRNBWUlxGyYFoWRiA1BJEk6\notTYKQN4AimqcpFqqB+2PbOt26hbA//6rzcGMzdnZppBcwiwqSrv7avjnX3O82ef1vOGHoWOb5u9\njQ/Pn7AzlhNrifi/GlCvQ73vf7f2tvSi19i1eDfjz/5wcyQzckJ576/CXY3h2Rsg4M07ZgHjIbwd\nnrfg0fK/qlrPg5ihpAIrkfubHm9KjZ0yhZJAruNOsiN2sw1fbxi54esNjYFViDSCXcpTK8wMWf06\nXNy+2PGWp7XEtd0GiG3EfwOC0cyIx3VdFKXwz074QBgUco/l/hr8cXiB4J13jPPB/wrcCTxGAr4P\nNYUCIzV4yQ9+BdwQWDbc78DbyW6bVH3IAJ54WcAbib6pqqnh0G8hr7+uv9BxM2jiWLYKhPMO/WKG\nrf3rJq1P6Xhxh8OPc12XeX+fH4pmRf93LPePQdN4e+01AFzwAWmITRMlONsL714N/lZ5B3YB4+HF\nEOS68GkyGydVH3IWSulSNJ/nGT1FP6Bqqumr410JjEh2o47B+/P+Nj9W9ODil5Y4WkCfCYd71m4s\nJ3bd51d/GZr95Bx738/72PzjFj4Y9lF418Jda13Hff1Ybm7A3ni72R4EFIgBOUd5uoLYa7UFVZuO\nU4FbvbDBAyGfqHN/YxXfsxgfPHNBgeAN0AwYAQEDnk1kW6TqTebAj85rpBnzTzi7bafBTwzy1WmT\nweYftvChUzh4AAAgAElEQVTNbVNC4QPhh+yY/Z9kN7Ac6usp+pL2553Y+KQ7+/o0n8bKd1bFVry9\nImiGrP6I6XsFdTHSjEcUVRmiKEpuNCf6mmu7L3Okp14uKvy+GYy7HgL5cylt4CMIb4GXTHiwhKee\n7YUXXWgJoMDuqEi5fHMs7TgaA96qC6OGQUoTRK/3OwhmwngTfkC8ifwKTKVii67qApcB9YDFwHTE\n70kToLcCkx8BteicUwf4C9gO1IFjS2VJNYocxKyga5sPaPbyjfOuT1HUIy/h4IaDvNr99bAVsRtR\ns36R6qi6eoeRYlwPrm5F7c+ssPVPRKyqapoBH+swrA/4VVCWQSgCC2NwHhCJ85zTDZhyKQTykzkb\ngU8hHBVTEacdSzuAAKLHX3DWT08//HQv+Avm6dcCnwBNIdgE9E0QzYaDJpzBMQw8KzDaA6+1A6cu\neNdCJBe2K/CLAxc2hchuyLgLyCjy3DDwd3GNx214orz3lmocGcArwl/P9/2wF845u/s13Yqde+uU\nd7J3/LTzWmBS4ltWpXyqrt6r+/U7bNOuo3k9yyOZ0T8jeqCVoZ8qUlAeR9Q5mUMJ0yd9MO9cOLlX\nkeO/AF/BiggUPXU0GQb8w4ZrENMYMx141obn8+7/9YlwXjegHSIhnwu8hJjjmD/txgUWgPMjbIuJ\nh5anJ97DgPljwN+owPVeAycAjALVh/imeBB7FRY0E9gNbIdQEM4HZpTj3lLNI2ehVIyie4y4lU7J\nOx7/ZM2lG2nGjy0GNu81+IlB/ozWGWyetvn07++bNimaFf2dYzlvV8I9Fjll26BBjcCArnFOdAI+\nhW6Iwc94PfeiDAPmdIb2Z4A3A9gJDSfBEwehtSs6u+d5gPXAFMQyVR/QkSPBG8Rv0wBQF0L9g6L8\nQZnf2Ay471QwGhU4lgscAvW6vPsBDAbeQvS4+yIS80uBnxFLaE8B/2y4PyID+HFPDmIeRfhQeMKy\n/y0PFj2euyeXHQt2GsCsJDSrKo2s175ej6u+vcLfYmBz0pqm0uPa7lw345qAqqv/QdRGSRRXBTve\n6p68ydAuZZ92eFlDaHNJXvAGkcy+HlIcuD0dRt8LXAWMAu5C5EbWkZd4L0IB2oAOdC7j/QHwQI8W\nRd709wJNKfyNTQPGIKYrfQh8jgju1yBWOy0TTeiAdNyTAfxoXN7bPnfH/u/unWqG9ocA2L1kN++d\nMT6oetR/AQeS28DK5avnu3HAvf1SVE/hH4tG3RrRsGsDBxhSibfzA2cBZxO/Jrqrw6SFcYL0EnAN\nMZBYptWbPhjVB1KLfhYNAF7QLgJPwf2AUhDpi98QATaePeLeO0o43VyDv/nhF7/4tDEW8DmwcV+R\nlIuP4sl4RLvYB1wH3A0MA9oAlyBGMM2yDSaf44OFKsR0yNTh34gBVKmWkCmUo8s1g2b/FW+teGHJ\ny0tGKB7VVVQl2zGdv9SwGShloiiKz0iNX9/KSDHgyKf8CvF4PXcoivK3+h3r2YqquPtXH9CB/7Mi\n1j8LPi4Kf5gLZ5iQ1gc0BVgG9k8QtOC+ctzSjpdkd4AQKK3inGuByM0sRVTwalDg3Dpgn/ggEG8m\nTFcd5vYCf1cwosA86LwbbonCg7Ph/K4QSMm79gpEAF9D4e78FsQbTLO8f7uIdIsnrz3bIWCLbNKu\nvEucjEgr7QK+U2CUF14/P28AOAcy5sDYX+H8mKgwebRpm1INIQcxy86H6JwdopbW7VY8yn0dLmz/\nl8s/HxkoeDz4W5AXWr0YsSJWK0THtCJGpjZNfefaH68ONOgkwuLBjYd4b+j4UPaO7LG4vF/k8a0M\n+D8XLgUUBSbFxAyM8swAubQRvHMbpBb8bJGD6JLeRuEADWJF0YuADa4HrF7gNgJjM4TWgW2JTvFP\nRW/kg0VnQt9+BX7mHeB9cLbBBgcWqDAyHXypoJwOhIBvgR6IiJyNGLD05rXtF0SyO1e0B694jhuA\n3BDoHoh4QW8Lyj6wDoDlgH4TpBVcPOUCH0J4PTzqisFbqXqr0lkoo4BxiJ+5fogOxTE1Qqo2MvQU\nfc3JDw5ocPKDAzUj1WD/2gN8ftUXwYPrD70Ry43dU9EbeDO8a0aMv7hj+/MLlxjf/OMWPhnx6ZZo\nduwEKr+ol2bAnDbQ8yzw1Uf0cL+AcERXve0VRR0Zsw/nEx3gS0SOpy/wOsQseFuHQAyWuvAOYg1S\nUc0N2PAH8BX9aLsl75oq5GbD5rrQ6TLQlyJSJQZiNdMeoBXQFRHUBwPzEKmTtogAvhIxf/JG4DNE\nMnwIR37J1gMTgHuAwltFi8n+E2FFuHwzeKTkqNIA3gnxs/4q8AAygNcWLb0Z3v9ZUWuwkWpYZtC0\ngX9YYespKv7JQwWsR82HFFUrnGd3XZen9Gdt13bTOMbFQqXwa/CYAmNNyPDCFjfVOHjqw6f02fjZ\nGtVevZ/eIQsFkdZwgGsRvd2ZwDx4PyoOHU2XNJj/gBiHLOQA8B7wO+BVsOuCZyditkvrvPM/IYK4\nggjWJrAZMbjapsj1ZiES8AcQq5qK/oJNBBoBpxc5vhmYAL+ERbpFqt6qdEeeNSSmhrWUWNujWdFh\ndsRuGt4f7m6FrYZW2HqSykkbOR6v5/DelwUF9wVRVMVCxLCqELbgYVOsfvREoZ2iKY1OPL+deu38\nG2hzb3/maipbgf6I3m3+gp6WgAqnlOEeG8PA/jgn1iHy6jowGDzbEYH5DMRk8v7ALYjf2C6InvM6\ncBSw4+300Q0RwFsT/ze8HfFHWJdDJCbWJkm1gJyFIpXkEKLDVqkBVdXU92Y/OTfmuoWzJHOfnmdq\nPu0TEliRUFGUvYc2HkLVVLpe2QXH8HAJIjgWnOu3VzSqLDOOogr8fQIEC24ptBmYzZF3gAzE7IGi\nUxQDwABEz3sY0A9UGzzx8klWXhtLatRv4GwFcyviTSEMTAf7V8ixRXpfqgVKm4UyFVGfoahHgK/K\ncZ9xBf4+A7kA4bhlBs1Hfvnol7Oyd2Q37Xt7n4CiKix7bXlo849b9ptB84FEtiVyKPLCzMdnv3Li\n8HYpjbs3IvWEOiz4dT8nO0dCZjYi+MbKGPRMeOoQ+F+A++qDzxXHuIQjM0rWgeMrofNUB9GDn4fI\ndRuI4itF8x2LEXnynxF57YIjCpnAIoia8NR4uMOBBg4oOnxniixOvA8JUvINoZxTdSsjNz0dmQOv\nTRTgZFVTLwBcx3K+RMxlrsyBxVRFVW7w1fGOBpRIVvRD13bfRMTLRFKNNGOCv75/2MD7+6fgosz8\nw480itp0zmvMMsCGbWb59yzNUGFaKvQaAFovxBSmjcBHEPGA8nvwFl3KOxHRQ1+CyFldBnwBDEIE\n7BiwABHcr0UE7zlAZ7DagbYfrAVg2vCIDf9C/H/WRXTCq2JsQao6CamFMh1RSW7JsTZCqjYMI92Y\nZKQYp/W6qWfAdV13+RsrwmbYnBbLjo2kdu4IowDneDO8Nyuq0iZ2KNLFDx4fePLeTX42xWKj8iza\namLAjFRo3glSDoKyETBE/jnXhCu98EQ36HsueHXEL8kKxOyS7ohVmCHgBkT9kzmIeZP5qZdNELEh\n7IHNEXhZhSZe6GfBFhNeQ8w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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "scatter(X[:,0], X[:,1], s=50, c=Y);" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 再度開個學習機來學學" ] }, { "cell_type": "code", "execution_count": 90, "metadata": { "collapsed": true }, "outputs": [], "source": [ "clf = SVC()" ] }, { "cell_type": "code", "execution_count": 91, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "SVC(C=1.0, cache_size=200, class_weight=None, coef0=0.0, degree=3, gamma=0.0,\n", " kernel='rbf', max_iter=-1, probability=False, random_state=None,\n", " shrinking=True, tol=0.001, verbose=False)" ] }, "execution_count": 91, "metadata": {}, "output_type": "execute_result" } ], "source": [ "clf.fit(X,Y)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 放一堆點預測" ] }, { "cell_type": "code", "execution_count": 92, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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Em6gJz4u+kk982Y/ws/2oq/BjSByCVXm+iCP6bOoeiijAsWahtNfCWn2XKV2isx49zZn2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R3SE7KWfLcRxyOmZzYJaIHM81zuuamzJnm1eUp/BSnAxyo5wO2UgloZrdIVsUZIGVy63vyfOo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\nlweq3WASXgCzZI6JelhGFTimFHadIBoGwCs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xkK+rL5zdJyvIe/iw4OWfhfMiy1VShlQk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\nLi4uLi4uLi4uLi4uLvh/bYsfVifFdF0AAAAASUVORK5CYII=\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "gdc = clf.predict(gd)\n", "scatter(gd[:,0], gd[:,1], s=50, c=gdc);" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "# 19. 非監督式學習之 K-Mean" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 沒有標準答案的學習\n", "\n", "所謂非監督式學習就是「沒有標準解答」的學習。比如說們處理一些數據, 本來沒有分類, 讓電腦自動分類。\n", "\n", "K-mean 是這種的方法。" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 亂數取 50 個點" ] }, { "cell_type": "code", "execution_count": 93, "metadata": { "collapsed": true }, "outputs": [], "source": [ "X = randn(50,2)" ] }, { "cell_type": "code", "execution_count": 94, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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Dt+H0XSjl8UXA/V4F4pK+TjAz1Thgd/QfV6kk+kr0IIHRQDX6j2oP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\nhUUCygAAAABJRU5ErkJggg==\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "scatter(X[:,0], X[:,1], s=55);" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## SciKit-Learn 的 KMean\n", "\n", "做一個 K-Mean 學習機, 告訴 Python 我們想分三類。" ] }, { "cell_type": "code", "execution_count": 95, "metadata": { "collapsed": true }, "outputs": [], "source": [ "from sklearn.cluster import KMeans" ] }, { "cell_type": "code", "execution_count": 96, "metadata": { "collapsed": false }, "outputs": [], "source": [ "clf = KMeans(n_clusters=3)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 開始分類" ] }, { "cell_type": "code", "execution_count": 97, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "KMeans(copy_x=True, init='k-means++', max_iter=300, n_clusters=3, n_init=10,\n", " n_jobs=1, precompute_distances=True, random_state=None, tol=0.0001,\n", " verbose=0)" ] }, "execution_count": 97, "metadata": {}, "output_type": "execute_result" } ], "source": [ "clf.fit(X)" ] }, { "cell_type": "code", "execution_count": 98, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "array([0, 2, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 2, 1, 1, 1, 1,\n", " 2, 1, 0, 0, 0, 2, 1, 2, 0, 2, 1, 2, 0, 2, 1, 2, 1, 1, 0, 1, 1, 1, 0,\n", " 2, 1, 0, 0], dtype=int32)" ] }, "execution_count": 98, "metadata": {}, "output_type": "execute_result" } ], "source": [ "clf.labels_" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 畫出結果" ] }, { "cell_type": "code", "execution_count": 99, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 99, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "scatter(X[:,0], X[:,1], s=55, c=clf.labels_)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 當然沒在訓練資料中的也可以" ] }, { "cell_type": "code", "execution_count": 100, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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Bpw1MmCEzqZv6RQGx/21MQ+0r97uMUENkNzuRxcwg7E8ZIeDcDf1Pg1NCpWct\nDvwxDnsuoiSzA/RroNP34XM+2VoWSTts+CXk/G5rR0P9Q/AFn3thAXllf3+uKrOjP1jvwSVh1RTp\nzQK88DFkBlL6MerA3AhnNKpy65XA/S2Q60rJmEMDexlM7y9ua0VsBW5PQnY08jpd5OIRGHIsHG+X\nuIgCf4hD9EzAlw80r4Ou3xDb0OLYlQH+koDN34OCP+VyCjTeBZfVlfY7FIC/p2DFHEif44sdDvZb\n8PmwaoX+Sh5efR/SfmfG1rLJ55x6dc/MMuDh3ZDrQunVWpcdgjN7wDjf/bQJuDMB2SEoe8udp2HU\nNHFBLIY3A7clIHEsJZkdMtj3+AqcHS4tnqURO9lt3wD3Fl/lzoN2v4dL60pmWXlEqvnx3ZDxbzYZ\nD6F5cFmkpCRygRdy8PY7kPYP2B1EGnhBnTrOLXHhsW2Q7U4pbWfKoH5cR7HhLWI98vvl+qJ4NTiv\nwPiJcITPAGs38IcEJGegpD3tW6D358SSuDiOJ4E/xWFHmcxO+wK0/6XYMxfXTXNICmzt7yHrT0tO\ngchT8jwVXxJc4OksLHwZ0v4Nct3NiLn8wpfOj3QZVxrnFt6+yH36ymc3ZOPZXpQWCxwzbG466a8n\ntB18SqlvX/PiGu499oFYLpnric+fwGlw3p389YnDD/+fw/auZu5YsZM7JtyZSLdkDmHfB4/8t7Hf\nZYSHAuchI91C70/QDGB/oQHyp8ExIbUpdcDMOgh9Uw03r4XZZZpjCynjaygXCX0TjiizntWBo2zI\nz0LZJGR9CcaZlY52E3UIdUZ9FT8DepiVe2X6A70M4Ez/BcDpJtfxoyMwwQTLv226PeSPgVm2ykUr\n4MhyLjTQrpB2l4kmmB2Rbcx+hL4lfPo3q+nArJDYttLad40rYLJVeY7FoQYY/VCtdc+FfnrlhsfB\nQBcTNS0xDerbiu2uH13wrHX9r+LdoDAFjrDV+78Rz1rXn+M3wb0cjvV13iATyGPqwC5bDwh9G2bV\nqU6HBnIPFs5DmYU7V8PhIVUGqgFTTY8H302gXwRD9MqXlOEatIugSueOhrZ1aucNouodposd6170\nA8bCtDL3wjZ41rr+N5IwFD4Hs8PqS1gYaXPIb8ML2N8UjvyiFxPh0r0M5eYKfR2mlVnPasig4h6K\nr+GGY3xh5AXDDX/nDTDqkpFaQ7dWrZETi4o4qdOojpa/8wboNb0X/Y/tp2u65pfPjtBtfeCh3z5E\nkaI0DWweZ27zAAAgAElEQVTH5GsnOXYru1oW4VOL/7QDf9W7xihkAXM0clTTfwtdIJwN3gXbBcj7\newYNMh2DRTIdgEIdqp1s/+C0WAhoTKFaqA6DbgEpGA3vGr68q9YPelbZttujDnR/z94XulaRdXW1\n5Hv3ojs0ZIJ32HcBXH/uNwT5huA0ehcg0wHVTrZPMG91QCSLQpQxFLoFaLV0oHMehQtrCPSoYgXa\no06NpR90N4InJN1ssPxc9BY72aAd9l001I0DrUEzK7X24HFRdhPkegRz0QDYBVRf6yHQNeDHM4EO\nGVQuhkL3IP9boIdDBRc9qtgHdAuVcdEX2meCZXlddND96yPtwSoEp9G74B2O4EO2azAXbQDdQCV1\nEHQN+PEs5LcqjeJWxBradXK3ihSMpml0m9zNQOWib4/DuwfeQ90O6RYxw6a/Z+/baVTHnG5U/iSd\nx3c2DNsYEnSdTzMOdjfCzZC0g2V2mwHD5xiIK4uQQcdf7gD0BMqFtNXBkrw00OKgaBdzy2FzgMzO\n9erhPzvSXQ3rAySHABviUPDb7a2BzVpwKmxzDvJ+m8INEK1irbvZa89epECPBx9/uQXPYMhvJ7su\nmLcknp3splJZfjlsDvBxLQBbDRQusitgY9CPh3ChnLm5GjZWOe9xUwayfpXGWtjtqEKhIjaDamnY\nDG4+WGa3BVkc98PcEMxFDMjoKM6MhQ9hc8CPlwd2WKhcLIeNVWxRN6TVWNbAhip2sptScj/6Y3dU\nsdbd7Eod92IHZIxKV02QNptlln/WlmAu9gCFAiqpHwVzkQV22fiUJblkdvnmdzYHtm/j25vylHGx\n4Y3ge2jT25uSuWTOf4btmm2LtxmFfKUKdMu7W/P5TH5FxQefchzsHXgzGI/Cs2lVP5sEnotDqkw6\nl/u1yAj9D3YO+EfSM4jyXST1c3g+rtqiusALWdDnody52d+J/WV5h/iuC4kdqNLA+2GNW6m1XQ2s\ncoH7fIWvQ3JbpS3qDuCtLGT8VqfbQH8Bni+zRY0j7Uj53dZc4GZpt3/cySL8FMpkdqkb4NkyW1QX\neDYjBlf+BzXzG3gtXWmL+lYBMutQpYF/hRVu5XnAK4ENBcCv7X4BmqNiEerHVsSGNee3k10H2psw\nr8wWNYpnrfsLtdH6n2BuSu3kMggXmV+q35f6OTwdV1VvBeDpFOj3o9ww6V/Dy8lKW9TX8lBYhiIN\nLNwJ7xcqbVGX4Xl/P+ErfFK8rst1/JuAxS7kb/cVrgB3CbxSNsFoRuqW/pWvMAHGPcKF/5ZLI21O\nlz1P2V94HPnK8si/1+9E+SD1C3gxoQ4OLvBSDrR38HfgqfwfFt3xXn7rYr+FPSz52/tu89rmOKo0\ncM6m+ZvzK59ST0Jb//oGVvz9Q9ctuHf5ihdlk7k1b/36bWU02716D6///I10Jpopt5+ugf0vhWkE\neyG0jcK0gpgMOQmwb6byfdsEe46ssB+WhymexajzDIGr5tZPRG0wIQMzXGhqQQ6ZDVg1LyovRibh\nSBd6tHgOakGr5lPFanZATGIHxjzr2aBV8wEy0+neAke4MMpTEASumreTVf2mFqnvRE9NEajIsUUt\n0ComPBxWtBh9lEpFjgb2TXKtSVmYXpBDiO1FKPnvIorKi9EpqXO3FsR6Nsjdz1NeDI4LF/1j+1Dk\nDBNVRs+oxI5IeCqUIDljR1F7dPC4GJ+W3zJQkRMWFUlDFKYWxJwpEgf7PgIVOfbtomSanJV7rk1U\nDp4Okq2ZV4t6Z4zHRecWsNYS6O6nHS/y06EJaV+fqByaECjhGyOf9fG4GFbk4sSA2G6iAurk3UNj\n01In8+sBsXWiLmrtPU+HePbF9h1UTvgMkT1G4sLZVE+p5bxE4HFI5v/KbzA+Lb9JhxawPyLgOCTN\n0M40Q2Zi2LlDEzN+Ot3tOb1n1IqYOwhW5Ewyw+aevkf3ic346XR30KkD42bIjBO8HtfbqrM2dJnY\npWXGT6a5oy4ZmTLDZtKwjSAb3gON/4qM8J/hv1GJE0TNoOdBy4P9GsEdJ8AEsBZLnJYHaznVbVH7\ngDUPtJxc29xM8KnmAG3Bul9O9jFyYDSDXs0W1Qbj16AnJVZPgXkjwdpnDfSr5HpGTq5vPUBw0hbg\ndDA3eVzkpP6BUkaAQ8H6wMfFEqrbog4E61UfFxuAoM4CJJf6iNRVz8upNlo1W9QwmLeAnva4SIDx\nc4K1zzro3wYj6nGRAeuvBCdtAc4Fc6uPi2eprn2eDtZHvntoIdVtUYeC9ZbE6XnPIrba4n1nsJ4o\n8WbsFH16IOrAvB00jwsjDkY1W1QD9OtBj5W4MO8kWPsMcIl8914unqL6rulZYK3xcfEO1S2XR4u0\ntsiF9TGVDpVF9LDqrGfQtRy6njfCxjZ0zq8S22BFrLs0U8sYtpEzbCOmO/p3Cc4aWIZj/FS39IRh\nGznN1NJm2LyV4DP1NM3QvmSEjF26rec1U8taddbfqXQu/TRgv8sI/9VK7Mfv0U6F0F1ykGp/JA2w\nwIUXopAbhZovGwvWy6K0GO5VaynwRAIyZae200U6tMNbwwRdFsRWITv2kl+Gwp99sSGw34PhvWCa\nLcqPjcCjcdh9m+wWLVVYNMfdpspqfztEhfmPJKx/FdKzUH446wZo/SU4qU7WCqPASxlYvA4yI1Dy\nGvr5EPo9nBKRyW4GeKcALzdDdjjq+/kh0qEdFymZF70PPJmA7DTgHV9sTzDfgxmtYKwufetHRS4u\nQj05p17016O6whRLFjo3AnPi0PIryPqlmhrY86DXeDjac1zc7tVh0zOQKdscY/8O2l4IJ9aJjLoF\neD4Ny1ZCZizKK7vxRYj8Ug7o7Y2kPN7Mw+u7IDsUNd81Q2xYT4iIAqYALAbmxiB7CKr/Qn8wF8BR\n9TDa85P5EJiThPQZqKmO1mAthQkd4FBT+pN1Hm+x70HOn5IwxCK43wiYGZIXm63IbtntcyBdZj9r\n/xnany517ojknZ9Nw8r3ITMRJR9kXg1134eT62T8SiKnKb293ePCn6ueDc6D8jwNRFJsi1x4NgbZ\n8SiyVYaB9QbMqoeRSN+6HHg0CZkTgOd8sU1WxFo66ZqJ7SZeNd4ItQ6xdt5a/n7+44nEjsTX8+m8\nX6pp2fX2goEnDxgw4yfTnYaurdiyaCuPX/JkfNfKXX/NRDNfVJhoZT/UaUynY2bfenSk/eAmdq/e\nw7NXPZda/eKa+ZmWzBR8z5MVsa6r71L/9ZPuOr6u66SuJHYkePVHr2cX3r5oczaeHUbwAsCBwn6X\nER5o6GD9Bs7wbjYdmcQeosGkCNhl26BDN8DMsIhlTGRiMwI5WTv0KzXWugZG1Yv1bMi7dj/g3AgY\nv0Rd1j8TOnaF4+yS7LArYiPqfgl1dB8P5uGiOS5uIGwHnBUG6xDUGXB7cL8m1ymKIVoBx9rQuRPq\nIQmGzOrPiUg9daTeh+swug6ssg0soV9Ju0d6TSkq22ZFhCc/7O+Iq94huvCrIwq4syKyqUW5j86H\nHh1gtiWTQQ05tOfCOnC/jppymQqRMXCmzy63fZHjmai7abuBe7FcpygvawBOcqBdL1TJoS1b1c/z\nBjIN6TynGzCslXisK1zcCCdGxBK+6KE1FphRB86Py7i4Dg6LwERNBnUdedk7PQzOb1AeOP3z0K8N\nHGWKwElDOtALIsB1qPKpWdAwBE4LlSjqWIw9BZmdFNEPOEM+K4peWgOnOtA4EDjGFxsBvi/68l5e\nHSJInQa0Bt2vW9ekDad6A1nRQ2uCBodHwLle5cL5EUyvkz1XlsfdUODksHBagmEbXx182qCGad+f\nYoTbhNE0jV7Te3HuM2dFNF37Kerb50lt+7fpfeJfjncausrz1GlUR85/4Zw6N+9eiJp+Gq6b+jHn\n/OPMSPvBktls07s1pz10SijSLjwKNS3Z6BYK37zgxXPruk3uhqZp1LWvY9aNR1k9p/Ro0vSqu6w/\ntTjYO/DeYLQOPhl7pIn6iq9BeiqMCBjRhgLpMSgaPOMUGBUg1eoChC2UAyDCZ8DYANvQOqBXFkW3\nqs2GUWWaY/A60Aho/m3I06FnwEnzGjCmHsJ+zfgQCDnBJ82PskH326LakB4feKoXI4D0FNR740SP\nzzL0AMwGFFlX+CwYEyDragC6ZFC26hsnyOBSniGwgOEWqvb5KOiXq3wr1oCx9RA6zVc4Rr4vSCY5\nKgSWP7YRsoOCM24jNMiW2Sy4x8HIgJRGX8DtjCKpdM6EMQGv8W2BpiyqnezJ8puWP5I2MFhD7ZRn\nSQdbnnHTkWvYp/oKJ0G7XLDbwOgwOP5JQCdwuwa7DYwwIF+2RT53VPDzNBDI9seX5rPqrdNHXTyi\nQuPafkh7Gns0uPh23jqNzqljLhtdr2nqpUONIfrN7ptHPWLu6GHnDDWtsJpx002d0ZeMqjNDpt+G\n9/BOYzplGro1VNR49OdHRUJtQmdWfPApx8HegeehUEVmV0Dycn5obvDp3IWK/5BrB0mvXOQ7FQOn\nXPB1KYaVxear5LYKBTWW/D5iQZWQFKSsKhf+CrrypyoXrnohLV+9feVckAvmbe+1y2Ortc+lkot9\nXNfNqbGFKq+eFXUoVDRXidXKG16FCxfPkvhf5SIgtvDvcLGP2H+Li/J7aB+xFc9TYR/3UHn78vls\n8D1UyLkosS65fDaYt0Kukot8JpiLfDbvuq6rxBaywe3LZ/PgVv2xPrU42DvwtcAWxc10L+ZnoeDP\nzbpgzRVpXzneA5zXUHKo2ftgfoAudy2eherSUlnqHng7wAq0GVhnocqeHodFmUor0AywMA2u//Tx\n52G9XXItLKIAvBODpN+NcBlko6pRWxHz05Dzn3afle3V5SeVg/BjP43So+UfgPkButyPAHc7iiYy\n+Vd4J17ZIe4EtpgoW9jzj8C7yUq9dgpYkgce8xXOhVVmZYqyyEXaL79cCPGs4uy6F++kIOPnLSoL\nlkE2w+8WwHxCLdMegQUBmv/lgL4KZfNA6q/wTqKSi63ALg14vVSWfRDmx9X+FGRrwjINNbf+FKzQ\nK/c/5JFrZO/3Fb4pKe5yvbYLvJ2A1N1qxYyPgm2GF+Sk7X7oT8CCgE5vKSIUKOknMy2Zvy249d0K\na91N8zcT2xzL47OTTbek759/y7uxQk59nuLb4nz89CoT1Sb6iaX3fVBIt6j7H3KpHO/+YVEyn877\n7XJf3rZku7nzw51KrOu6zP/dgnhyV/JuDjJUO/Tzk8T1wPf23+Xzy2DFqVBvyRtbAng5Dwt2Q/Y8\nSr4iQH4RrLsQdAuaNHlYFrjwXAIyZ6Lc5e57sOtzEA9Be0PGuqWIVWb2YlR7zw8hcxJsagsdTHm1\n/Ri4Pw7ZH0HB34Fvld1vH/aDDr5FvocTEHsc8jf7YlOiMFg6GZpsEVvsBJ5MwcblkL+G0mzEhfxK\nWH4iNFqyGy4GzMvBezshdwHKE59bBGvOB8vjIovYxc6LQeYslEW+wnuw/SJIOdBel8nVEuDRBGQu\nQB1Bl0PydNjaCB1NSQGsBB5IQPY74Pr8wNkI2nj4qAd0tCQ3ux54KAHJeyF/py82DoYDS8dBe1tS\nJNsRK+Ct70H+25R6ygK46+CD2dDa46IFeD4LH2yF/CUoQu7cYlh1LoRMaKeJ7vnNArwa9e4Ln6g9\nvwi2XAQ5G5q8CdB7yMJr5lzUEXQpxM+GnfVyX1jIgueDCchdBe7bvtg14E6DNZ2FizAyWXgwDuk/\nQt7fKTeD0Q6WjRAuWiGDwpwk7HoT8t/3cZGXD5ceBW0syZU3A89k4KMNkP8iymwivwRWngl1lqRd\nksDreXizBbJno4ja8wth40VyWEOTJoPpQlcW5DNn4RtB3YK7pHldywXNa1siHYa3NwzHYPmcFcw5\n6++JTDx7Oa7iQfJxPp0/ev1r69t3GNHBCrcJsebFtTx4ysPxbDx7UyFb8Pud7zRso8fyv384qMOw\nJru+cz1bFm5lzrmPJVo2tLyQT+f9+x+ymq61fPDAsmntBrS1Gns1snvVbp7+2jPptS+vX5XP5L9G\n5Qh6IHE9+7Xv/Nfw35ARTgNnubzSGTmwniY4GQwwRFb7dU/2ZC9AVjWD0BGsx8DMyrWdj6kuF4uA\n8QfR12ouONuAS6vEehIwuwXZIRoF/ftUH1AvBmerXNdKgXE71U/RngXORx4XWbAeJ0Bn62Ek2G/7\nuHiD4PO0ALqC5VnEagWx5FU8KfxoBeZfwEx7XGyGqnIxE/SfgB1DuNgD2ncIfjvUgMvB2eFxkQDj\nFoL9AwCOB2eN1NfMgvkIlSYtRYwXXbte8Lh4hUrDmiJ6gv28j4uliC9QEFqDea+Piw1Ul6LaoP8S\n7LgXuxu0awhWImigXQ3OLh8XNxLsHwBwuli9ai6YGTDvJ9BVE4BDxCK2+DzZLxC80ATQH+yXPclh\nwbOerSZFbTIj5sNmyMxoulZwGp21qEfF+REybONmq85KaLrm2g32TjS+TDAXuqZr37Jb2XvQcK16\nK6ab+s+ofqzPuU6js0nTNdcMm2kzZN6FzAg+bfhM6MA7gv0xdI/CsS4c6W3OsR+kskMMyYPZLgqz\nXDjGhQ5RsOcTuFJo3ymbW2bk5aT3nlHPIjZgcDCvkU0Kh2bhBBeGxL0NKQG2qNoJsulibEpix6b2\nYYs6RqxnB8cl9jBvo5L5zYDYruJS1zMq9Z3hWZ3afyFwhdV+B9pH4WhX/rSLehr68oU3Hez7hdcj\nC8Jz96hnERswOFjXSR0Pz8HxLgyKeRtSArTE2pnS+YxPS/tGJ2Uzi7JoV8QksZ4d5nExOSOcm18J\niO0l1rN9PC6m573NObcEcNEgMtCOUbknZrme1enzVHaIpmx2aozBUQWY7UKXqNi1Bq0UWj+TTT9T\nPS76xzyL2ICDXPULhYuJHhcjk55FbNAGL28z2IiExE7MeJ34xQGxA8R6tl9M6jC1uDnn5wGxbcUB\ns3NU2nZUQdrqPEFlh2jbrexnW/dpHT3y5zMKR9880+04qmPUbmUvoVKbr1n11u/CTeH41O8dnj/2\ntmPc3kf1jlkRawsBG7wMx7jcqrcSk66ekDnu9tnu0LOHJMyw2ULwBq9ZZtiMj7xoRPK422e74748\nNm1GzIRmBFouDzPD5q4Bx/ePHffH2e5h3z005zQ6CavOOuAz3QB8FnTgzhMwZibM9LmtZRH7yy1X\nAr5txeaPoPdVItkr9u0F4OE0fPhHyH7Vd+GzoN3tYqHqX+2fl4M334DUFF/hKPEk/1JYvW+XAn/f\nAtlulFIdbWUTzEVh1SxrE3BHEnLdKR2zokuHfGIXVTHSAtySgNThKFvTnRdh0mEw3fegpRFr3R2X\nAfeUyq2boP9lIlsrTnYLiBXoqpsg923fF14MHX8jJ837+7NnszD/eUj7O9vJEHkOLo+oTo6LXHhq\nLWT6ULoxO4mF6qVlNrzrkBN8cp0pJb0t6ZBPa6f2fbuBW5OeDtyX1nLehsPHwGG+QTwF/D4Oe84D\nfGsN9u0w+DyRJBbvoTzw1ySs+zHkfSc7aV+FLj+FiyKl/swFnsrA4scg7T/49wiofxQuL3NyfKcA\nz62AtN88qSdYy+CyMhve1cDfWiDXiZLmPwTmFji7Ud2jtQO4Lelpu337H5z34YjBsp+hiARwaxyi\nJ6Os0Tj3wfCTRapa5CIH/DkBG78D7t7t5rqlf6v7od3+99xnzo4Y3jGvruvy+CVPppc9tPzeTDTj\n3y18fGPPxnsvW3RJXah16YXpjV+8mX/lh68tSjen/ROdgXa9vfCy9y4Jt+lTeklY+dRHPHT6I7ty\niVwnSgsn9WbI3HLec2fXdT+0pC7c9v42/jThz8lcMteX0rqEZreyP5p108zeoy4qqWdiW2PcNvz2\nRGJ7onwvyIHG//M68LaQPxKmllllWogVbKjsmDTtcjiqzCpTB450oHAxqp3sVZ4OuOwrDzUhPx5l\nFm5fDpPtyknHUKChDvUQizOhv1vpdNgFGOAC/lnDFGjVqjKr0QBMdsD2G/J3gcIkOKxsluQg7VC4\n0KFwCRxVZsOrI/xwuXqN0NViSVs+GZ1iQX46irWA81U4LFR5zsNIDcJNwKRSmXY+DNUqJ/E9gF4u\n4O8MZ0I7q3Li2gaYYIHlt5PtAwyDyWVvYCFEtxzye9fbkD8XjnDUe8jAu1fKZvf2lXBURJ2MasB0\nG/LHoTQ8dAVMjVRmu8bqYPZA0bkbF8MoozLD0xvPQbHsVPrOeuUG2yZgtAHGJb7CYWD0gnFlz3oE\nqVvIr4mvh9xJMKPMhtdE2qzarZoh82tH3jBjb+cN4hg448fTnHwmfxa+hyfUJnTl1O9PUTpvgAlX\njDc0jcH4dO5m2Lxs7OVjTH/nDdB/dj+aBjWZqGnMU3tM6e76O2+ADsM6MPSsIZpmaBf4isc7DU6H\nkZ8brnSK9R3rOfTbh4SdRuerHGQ42DvwDhCuYqHaHij4hcAaZFsHH/7RBlmI8acO3C7BsRbQkEbp\ndYw+stAZWEUNZcuy1g06VrFQ7RQB3Z+e6SrtCBqE2xtg9Pb/Y2iVDt6B3h5Po1yEA24oOAXaBOQa\nUe1kOwVz4QCRDMpGJb13aXHPDw1oKqBwYfSEjlXy150iaixdZSEwCO1NMHursY2Z4CWF9qCmwBpA\n14JToE1Ariwtku8QzEUEsPMoaRStpyzulUMH2uZQRnGzN3Sokr/u5KixdIWOVWI72JVctM0FP+rt\nNanjXrQFKx98sl8T0vYScqlcu3aDKrNG9Z3q8Tp1/4ymR1NArGEZNPZqncX3W5shs3f7oU1BNzId\nR3QwKeOi48iOgTa8HYZ3CJkhs5c/tmlQu0K5vhygaXA7TTf1XhUffMpxsHfg6yFplg7E9WMdoPu3\n/bqyiFPufAeSvjD2oNrJvg/rA3JQCaDZQZHOZefDmgAf1wKwTkN5tXeXwqoq23U/jkHBJ0/kA1hv\nBGtt16Qh63f2Wy02t0FOtetc0PzasJQcW1bufAfCj70R1U52WTBvUSBholrrzod1AT6ueWCjhcJF\nbhGsqjwiHIBVcTWWpbCmEJwWXJOCjJ+LD2GXU3mCPcC6AriLfQW7gaTiAluKRTxB/DA/DOZiN56Y\nw6dkyr8L6wJkdllgq4NoDz1kFsDqKta6q9Ko2r4PYHUmmIvVCbnWXiyHbVWsddfmRUmyF1shV6h0\nkgRps+m3ZsWKWKvXv1Yp1dy+bAeFQiGN70Ju3l20/tX1FTdyOppm54c7HUSeA0Amllmw9sW1FZJD\n13VZ8+LaAmVcrH4umLfVz62OZxPZRb6iZZvmb7bKT7AHWPfSulwulXu34oNPOQ72DjwO+p9FSua/\nQfcAzyQgVXYqfebH8ERc1c+mEL+Jwg0oT0TqJ3Litl8zmgeeSIHxMMpdnrsVFuaVE71wkXx5biU+\njSvwCGxOV9qiLnZhUxr1dPWF4q/9Yk59WNch35fz28nuBuNBeDylKqF2Ac8lIeXfEu5C/qfSbv9z\nkkD4yf5IrVvqh8Kn3zIjBzyeBP1uFHF29jdidet/sAvAc1lwF6I+fPfBmpwiqQdEi749jqoDfx1S\n68UW1c/FKkQznv+Dr3ArGE/Bk2l1z8d2YF4K0j/1FebB/TU8llC91GPAU3FI/6CSi7kJddKQRf69\n/nuUUSPzK7HW9fvKF4C5GdBeQfWJvws+zKlWIy5iw9uyC3jG98FzEN0hUkc/FyuBFXlw/+wrXAva\nS/CPMsvlLcCr6TK73LTYKj9WZhHbAsyNQ0rhIt2c/sE/vvx0PLa1NAZnYhmeuPTJBHATvhsx3ZK+\n4eXvv5ra/kFJnVrIFZj7lWfShmXMxUdSIVu4fekDywqrnivR47our//sjXxyV3IT4JeiPrHzw12x\nd/+wsOC6JS6WPbKcNS+uzeH6131YDix47psvZFzfnqlN8zfz9m/nZ7LxrLL9vwbB/lahOOA8KqqH\nEUkYEPcOr70mIFYD61ci9RuSENtOKwn2bQQOZvoXRB3SLw4jUxBKeNazQRK+maKQ6B4VG9WGmHdg\na9DhtcPA2iQKkNEpUcJYm1G9P4roJOZQDTGJ7R71rGeD5IwRsYgNJaS+/WJgJEEPOrxWB/tWaf/Q\nhPBhJT1vk4DXfuMq4bV/XHh2EuA8TnD+6nhRT/SMwqiUpwpaSLCEb4woJDp6XDQVlT5Be9u7i9qj\n0eOia1QUOoEqjVbgzBO1xcgU9ImBkQD9cwGxhphDWd6Bu4MTYKbkIOcgLszvyOcD4zA8CXYSnAcI\nzl+dLq6CvWLCRV0cnDcJzl9NAnOnKEBGp8Qi2V5FsJtkb1FftfFiu0S9w6CDVBqtZZE9Epc69I55\nSp+greOWLGTaSWnbwLi01fyfgFjNilg/NMNmcuBJA+JDzx6StOqspN3KvouA/JVmaBcYjpHoc1Tv\n2IgLh6fCTeG402C/THD+aqoZNvd0ndglOuqSkanGXo1Ru97+kOCDsQdadda6doPaRUddMjLVcVTH\nqBkxtxN8MHaT3WAvqO9cHxt50YhUz6k9YkbIiFHdWfNA4jMhI0RkZGYzhJKit7U/Ag6rEny8dJ5W\nCuyUdB5aNQ+E8eL/baa9a0fB/AbBSemeYL8KRhrCSTBSYP2WYF1uI9gPiYVqOCl/23MI9NbGEsMu\nI+VdNy06dnoHxGoycBlRHxfLgAnBzdNOE89yu8jF5ip+0gCHgL3Sx0UzmF+rwkU/sN8CIyOxRhKs\nXxCsy20nToAKF/cReNo9Dli3if3uXi5eJFjzr4H5XTBiPi6WoJ7J6YN+Hpg7wEnJvWFtIFjKCDAN\n7DVgpSXe3A1GNYvYwWK3upeLBFg/Ivjtt6PsgtUzPi7+QnBSOiyDTpE3Iw32MwRr/nWwfijfHSrG\nLqSK5t+w9UvNsLnbbrRTVsRK2/XWGqpbxM6y6q31Vp2VshvslBkxd+qWfkGV2JF2g73YCBnpUOtQ\n0nCMuBWx/q8KF13tBvsFw9bTobahpG7paave+iPBE4Z6u8H+m255sbaesRvsJwherDCtOvMGwzaS\noS2+odkAACAASURBVDZO0nCMjN1gv011zf+BxGdBRmhcDvU/h3PqxLyogLwpzUlAdhLqHukZMms8\nM1Lq/9YD9yYheSbwuC+2H1gL4fh6kfDpyCv4fXFo+SFk/a/hDWB9CFOaYJIhE7EWZGfcpr+Xndqu\ngTMfhgyFmY6sm6aAZ9Lw/nLIjEF513Xuhs6niEVsA/K6/lYeXtoJ2QEoO+PMr0PDdXB2nbeIi6Qn\nHotBdiy+PCMwG0IPiSticVKzBpERpsutQIeC9bZYjBZd6rYC9yYg9i3I/dYX2w6sFTCjDYzXpc9u\nRnZXbrsH0v6OzgB7MYzqJ8qHEJLGmZuCFYu8U9t9N7HzCPQ4Gk4IS/+eQWxRX9/qceHLjVnXQ+tr\n4aw6WVfMI2mqJ2OQG46S79JOhfBd4uTYzfvKj5HdoxU2w2PAekUc+wZ4XGwG7klAvNxmuJNIA2c2\nwhhNJqW7kZ2YO/4AmTI1jP0BjOshqioHWc94MgUfv1Z2ajvyptV7KhwfkhfCDPBSFt7ZAJnBKPkg\n+xfQ7otwRp1M/PPIjsm5LZAbjC99oVv6BZGmyK1nPXFGpPOYTriuy8onP+KRs/6eyMazU/n/2Hvv\neCuqq///PX3OObdSL0jvKgIiTZAiIB0VARt2jbElJhpLTDSJPk+emKImscQaW+zYe6MpoiBKUYqA\nIEovl3tPPzOzf3/sczgz58wVn+8vRZNnvV68lLmLuTOf2bNm77U/67OC6cChZoX55vQnp0W6ju+C\noih89cEWHp/6RDKxM3k2IiAz3EGP6Csn3jq+os8ZhymqrrJn3R6emDY7Wf95/c25RM4/w48aMWPN\nkMsH1w276kjdiBrEt8d54dyXUpsXfPlGpiETEKmzqswF3ad0P2LCn8fZkWYRMo0Z5vx8XnbZfcs3\nZOPZw/ClcsxK8y+terc8/YTHjo9Wd6jGzbosuWOpN+eaOfW5pNMTycX8tti/PY1QB/W/5UtaIJyo\nwCHASBus64Lu9o1SQrUgMaogg9fxEbBKihrMq2GILbMaBZhaIoOj+BmBmYByJnSuhOFacRVdheSb\ne9MIVrGNhmgPmGoVSS828u+xroD/Re0A3kw4JVpcZRpIbnOXClD8PFsLuFZ+yAqZChVZO3NkBEw/\nrxuwfyfvu6MPi87A1Ei5nKx1rexgfqgPi9ZIOVnlVwRSB+r3oGcUjlSLE+5qZHB0TyM4Q5wENe1h\nolmEMwocb4N5GMF0QA9gApwYKU7OTSTnvX014P9I5qVrZ8WKpBANqd890C6R1lVkQcv0aHEiryAV\n+SZGwS6Rk7WuhzERmeEpYNEGKWms/4bAO6VdAodFYKBSzCjU5rHwLiDYlGMatGgNxxhF9l0MmG6D\ndiTBauG+oA6HmXYxm2cCYw1o1QLwqxHWgnexHBeFrI0GDFCgr51fRRVM1W39NzOenBZt018+JkVR\n6DGlO2N+c3TEqrYCOXCrxvr1uJvHRrpN6EqB2XHQoLZMe/T4qFVpBrpAGVHjsv7nH271O6evouoS\nombdmnHKyydFhSsuI1hId3LbgW1qRv1qhG5E5dCqaF3BzNnTIygcQzC9NsSImf2Oe3CqHWkm3yer\n0mL8LceYNV1qDgKm+HxbeznvrJNfPDFa3UESZDRTY/ClA9Wex/eMqIbqp6J+J+y7HsC7gGmGp5kP\nVqW2xH5TIN1fziBLrTuQ60ZgqaqMg0NClvwtgAoP+ZXImz0Zeocscy2gi0OwzHokHBYrh14B+lSA\n6r/mYdApG96o57Co/L377WCIifBV4yEaKP4PgwWZXuGrxl5Auh+BCxSjJZ6lVgdYBoEcrTUFeofQ\nuiJA+yxwZPGYPhYOqyyfZKhAb5uA9CwjoJsXnmY+rAJsv/RsP6jJhWekDjFA8+8f1IJ7UHi3t4PJ\nN0fwmTsiL+9aYu0AtZJgfcBkODTk4VUArTPAQJ/vBPn8S0+tAQdrBLEYCb3U0G5v9KkEy39/A6Bl\nJjwjdagFhh+3tijUtBtanpHqNb2X4mbdQFoyl8gN6XVCeUFpp6M74ua8OnyUSs3SJhwys1dZOrG6\nfRW13Wqz+D5Qdo016bBZvcs6C+mWTvfJ3QTgL6IbeciJB1ulneYVReGw03pX6hHdP+6HtB3UJlMI\n9H479JRDIlaVNaXsB99y+64H8CTktHDJzjSg+HlkQmqDhFHLMvmf+6ksSiLc1wOyOoHlumgI9wVI\nekFfEpBsQjAnmQMvHvRNNZEHSwHCT0dMyusKoxymAcVPN8nrVoR1sE8Dao6gnGwq/P5cQrBobBqL\nFEFfrxFSX4NFKW6pJjRtU0Key++b0cJTiGnks91vGSmhGkazSyHz0X5TvwYLRyNI64k3jUVaIYhF\nA6SbuL+kQzkWTUifprxyLNJNLMPT+Z/7/nHW08Jodum9KRRNCQwYVVcz6fry+3NSDsIVKv4BppBI\n15ePNyEE6fq0hu/+PEfsS+1Nh4775O5U2fuU2p0Ke3ikdqdc4YrA+5TeG/480nvTCE80QWn99tp3\nPYB/CcracilQASzMgHN/8Lj2FCwKCRiLPSk163+LM/fCwlR5EFgDuNsI8L3S98N78XIhsx3AVp0g\nBewpWO6W87UTwDIHeNJ38E3Ypsl8s98c5O9L3+c7+Bl4WwLUYiCPRQqy9wZPYLwEH4QEgUWu7Gfp\nv3Hnr7AwXY7FJ4CyjgAxOn0vLIyXf1S3kE8vzi0e8x6DpblgzAPJSvwUwC8F+jJ8oQdpnSAf2aIk\nZB/wHVwGmfpymWEPWJiEtL9rewLMebAkJHguyoH6WPCY9xC8F/LlWyZk2zm/imPqbng3Uf5R3QQ0\n5ID3isech+GDdPlHdR/wmUag9J/nYZ1WLjOcQZ4j96Dv4PsQz5bLDHvAwgSk/PTL3ZqtLf34vuVl\nwXPRTR9khRvo8I6iKo8uuumDsuC59K6PhBHV38FHL03vTd/z3u8WJUWJ5PmGNz4nsy/TAOzno2fj\n2Yc++NPiZC4ZPPWe9Xv5Yt4mjaC07jOrZq9WG7cGY2+6Ps3Suz7KuFnXTyOcv2fdXrYs3hJEwvF4\n73eL4um96btL7+Xbbv8OcrJLYP2p4KoQUyXv+bW0lMp0ziLwRrgfwLYzYJ8BlZrk+r6Tg/cbIXsC\nQaLzMohPhy8rocrI99p05bmzMwiSvteDGAJr2kFVfpn4qYDZKchdRLC/5F5QY7C8P1SYMk+8ASkb\nmrsNPL9saE7Koq6YAJYOllLsL7lvXolsKLJwZO1JgAZRVQbMV1Kw8XNwzicoG/o+fHUmxHWo0Iq9\nNj+sh+xMAkRnsRT2nQxbY1Cl5wOFA28lITudYEXQGnBGwdo6iZsHrBRyQzd3DrLZZMF2gNoaVvSG\nSlMOx3UFLG4Ez7+pnAFlJywbIzsiWUiu+ewExF8Bt2QPw10Gq2eCqkFEkXH1xRR8uRrcHxD42jrv\nwxdnQEqTWOwD5mSkDG/uZAKSxN4S2HMq7LAlFingfQfmJvM9PP1f20/lJuiGFhILF1jm5esWTiP4\ntd0CSlf4pIfEQiUvPZsA9zrw/JvKSbmKWD4CoobMf3+RxyL5FAT6SwpZHPbpNNDzWGxDcr23Ly+R\nJMZNu+9vfHvj6bl4VovVxdT6z+t56+o5mVVPrd7uJJ3T8H1tvZy3eOenu07fs3aPWXlQpZ7cnWLR\n7xfl3r3xvXi2MTeN4IbgytSe1LGb5n1RU92hynDSDh/ft8x75aLXUrl47iTkrnHBNiHou2r2mk5V\n7StNFIU1z67h6ZOfTTop53LhCf+mcoNqqGL5gysGx1rHTD2is2nuJp4+6ZlEpiH7gJsNSBK7wvM+\nW/nYp1PMClO3ay1l29LtPHfWC8nda/d84Gbda2i6c8m/wn7Jf4ic7GAwloKVBSsF6mzCk8Eg27C9\nDlZG/tHmEaoMB0AVKI/k+d/ZfNf2EU34asDNYDeAlQPrC4K6JqV2OVg7wcyBvQu4gqZ3nE8Ea5M8\nr90A3ELTUplHSTF9Kyu52spjNN21vTvoc3xYvEE4PRGgGahPSXytrGToNCkbagC3gd2Yx2IDsq9j\nmCnAz8DencdiO/DDJnwBzpCSrFYO7H3Ab2l6JTlG0iitrHyGyoM03bX9UNDfzWORBvUVgr0X/dYa\n1Oekn5WVDJ0mJYlt4G6w4/Kazc+AyU34KsCvwN6bx20rcH4TvgDfA2tLHot64AaaHkOTUMy1KFYO\nxU4A99K0DO/hRlR/36qysla1lVYN9XmaliRup5rqy1a1lbaqzKwe0RfSdAf7mKIqD9g1VsKqMrNm\npbkKOKYJXxX4jV1r15tVZs6qtr4CzmrCF+ASq8bablaaObvG2gNcS9NYHG9VmevNKjNn11iNwB2E\nb678q+0/ggfeDYxdUlZzloDpAtrGZeFC2QCtBXOtLOo4ScDJQhb+GJsINh4GMMB8UxaYnCDkuQ9P\n5QtHSptJKrJjelUcpnhwuoCjsmAkCC240S6UEqNjXThDyP/aCdAuDrm/Y+R5hmXleaeIfJHQXygf\noIeAsRf6peT1niCgrjHPlS7dQGopy8S7JyQOJwnomsgHmGYlvpbkuLeJS3xn5aVOjd2U74Qqkp9c\nk5cuPV3AkRkw4gRFvfKmXy6Lbca50ne0A1YC1DBZ1KkSi+E56TvJy8vl/j7Et5/kqh+RgtMETBOy\ncMp8ifKVZxswvoJeCThFwIlCFt6Yn1BeZBKV8sPt4jBDwKkCeicln75MMzsvw9usEY4T8joGpfOF\nWEdSZsZ1sthmQn4MjcpJbfDQgpuZ8mcj81hM8OS/DZVFHaxH9MYBFx+ROfW1k8Wxf50imvVo1mhW\nmk9R/vHrYESNbYeceHDy5BdPFNOfmCbaDW0XNyvNDykvYKs0K8wVHUZ2iE9/cpo46YWZote0ngkj\nZmyhXK1NMyvNF1oc3Lzx2AemilNfPVkcccHh6bxEbP8yJGLGbyvqYvEJfx7nzXrjFHHUz4bljJiR\nIKTgRjXUM80qMzHqhpHOrDdOEcf8YYwbaR5J6BH9yhAsRugRPT74R4Mys14/RUy5Z5Ko6VwTzxcf\n/TNo1f8b+0/ggVvvwMgjZcf0gnnAQynYdB14vpfbuA0OPReOK1GeeyUHHz8BmdN8B8+Hg26Cc0qa\n7n4o4PXlkPEXhAyH2CtwSSwopb0JeKgenNYU0xdtQV8PF9nBOLkXuC0NTjeKKQkD9B1wWknj5jRw\nawLik4F5PiyWwth+krZWMBf4awK+/Anwl+Jx8wHoewpM9s08BPB8FlbeBzmfIqHyY+j4X7ILuv99\nf8+Due/n+doFGw/VT8FFFUH2zDrg8Z2Qa0Nxyd4ZjE/hEju4SNgF/CWdl9YtLMMjoG+HsyqDdTtJ\n4NYkJEdRTFUpYK2CST2kCmLBHOCeBGy7CPDlc63ZMOBY2andj8XsDKy+FRwf7VC7Frr8VPLn/VjM\nd2Hh25Ae5zs4DZo/CBdUBCd4q4BnvoRsB4ov6cFgfQiXRIKMke3A3cm8tG4hrVUF+lY4LxqcGMeB\nP6dkw+r9+gSKWWFuPPb+KR0Onl5k3+VSOe7uf1989+rdZ+Hba7CqrVeHXDZ47IjrijK8whM8Me2p\n9PrXNvzGzbj7PxB6RP9N9yndLp3++DTbLxD19jVznSW3f/hiZl9mmu/iZrXq0+rOcz84K6ZbRZhX\nPLxSvHzxq+uzDdkePiyOsJvZ8y9ec0E02qJI7tqyZCsPDH8o7qSd1hQ3Mpvrtrb5ex+dG2nRq7jo\nbviygdt73ZnOJXK9KaZnNCNmbJnx5Amtuk0sEqeyiSx/6X13Yt/GfTMJtmv7V9u/PQ+8NbgDZMGI\n31RgVETKvPpNnAEjrXJMhhvgzCCQlrAvhpEhHdP7KchZp493Zp0Pw6LlfRA6IluQBZaJJ0k+dekk\ntxY4TCGYdhkDzdXyiZ2N/H2Wn7faCeglC0b8pgGjYmBfEjzonCTlYP2mACNN8Eoq6ayLYFS0fLgM\nVME7nACP074QjioJ3iB51dUWgRSUejr0U8szPC2Anh7BzjWToI0oL7qMAkMsMP0FQgeD1i6Pp890\n5DMNYGGDM0XKBPtNIT9WSlYC+vfl2CrFYogGzggCJfL2RTC8onx13guIVBOgEWpnwwCjnO7XGujs\nAf5geBx0dMuzGhXAQAN0/zUfYdVYzUrpfkbEYPjPh1XYtbZ/1VftpJ2jh1w2KDDoFVVhxC+G25qp\nfb/k+HkjfjHcLlX3G3rlEN1JOZPw0XLtWvvi4dcOCwRvgN6nHqrott4GX1WoETPOHfzDgZY/eAO0\nHdCGtoPaCIIpqBndJnXz/MEboKpdFf3O6auqhurvBDWssm1FxB+8AcyYyVE/HRqza+ySePHtt79H\nAL8POU0I6wr7j7YasLPh6asqwPMTgRVwYuGyCzFAaASijmgWnjrWgFiOQARWW0NVE1/KajXoqzSH\n2iZyjzUWqP6R2AxqmjhvlSJ/r983mgvfl64ChF97wwShh6eDqwA3QlBOtiYcNx2wcwSCltKq6ZR7\nVf46C6a2hJomZFFr7KAvzaCmiU33Kq0ci4omJFRLr4GYbDMWpkhaBbglEdWtCsfCBAyHwM0rLcOx\nUIBKj4D0rN4KqpvY16gxg740k/0tw6xaBy2ARdVBlW6YhGpVu0oUJaBPU2VEDMesKH8kVe0q8XJu\n4MbdrFtZ3b4cC7vGRjVUj+AAaxHmq6gKlW0qHP/9aabWurpjdeizrulUo1GCRU2XmrBCCWo6VZua\nqflTo82q2leFpiWq2lehaEppGvVbb3+PAP5Xmu4T+Y+2jZLjWkotA1gnQPGX/Qqw14R3sN+E7HAS\n4Jcugs9CdqQbgAaDAI0wMxfWlslfyiX7Ro1A+bFYDKuakJNd1Qiev9Hth7DRCO+zujYF2Xn+A9Bo\nBCrr99s6D3jfdyAN5pfhHezXA9ZnBHbjlcUSz1LbA6RUgtK6c2FtCM0uC2w2CXQQchaGYyGA1QmC\n7J3FsF4J5/yvSchnsN8+kXKyYdK6nzngves7sBfU+nBp3fWAuTJ4TP8ofAztAJwcgRM582Ftttw3\nDWyzAZ/UaWYBrA7hIQtgTZYgFkuk6mAYYWJNHDLzfQeWbV++wwrja697eX3Oybh+361u1s1sX1Eu\nrbv+tQ3otu6XZsWMGSvXvbq+zHfLkq2g0IiPheLl3Hc+e3l92UBO7kqye80eC98EMLMvM3/Nc2vL\nJGI912PdK+uhBIs1z6xN+5UIC7b66TWNuURuoe/QR1+9v8XMJsofyWcvfpbJJXLzyn7wLbe/RwBf\nQJB+98+0DCg3wVOJANOLr5ASqpnrg+7pn0sJVT+7aS/wbBJy1xLYNMj8Guang2zBJFLTQ72LgISq\ndzd8mpMMucIpssALGRALCepavwR7d8M8pxiMXGQOdfdeghKqa4AF8Hy6mEIXyLH+SQ7cO32+cVDv\nkDob/rH/BXkJVb9ErIDsdfK+/drPu8jLql4bgI3M9VJa1y8RG89jodxCsMP7bfBxTvK4/Vg8lwb1\ndQISqjwN2xvhXV8wcoG3HWjcSqDVFx9L7eqXMkW6vkBqeqzLlkio7gX1AXgyFeSYbwDezUL2Rt9B\nD5xfwdOJIK96B7LTfLoEi/Qv4bVkUCK2ETkGxY0Eaglyt8CSnKQDFrDIAE+nQHua4Ekeg80p+MAr\nYuEAr+Ugs56gHstCyK6VPyvERA9Zz7ApTaB1Hts1Q3vqmVOfS2Ua5HdVCMG6V9az+NYl2Vwid5PP\n1xGe+PXTJz+bbNxSHN7bPt7Oaz96I5muz/wigER95tpXL34tuWNlMeDv29zAM7OeS3hZ73p8X5hs\nPPe7Rb9/P/v5W5/7/n2ap09+NqUa6sP4tcM98cD61zZkPr5vmSjwxp20wysXv5Z1M85ywK93/lZi\ne+LLOdfMddycfJ8812PRzR942z7eHicoz7xJ1dRXnzvjhXQ2nt2Pxepn1/DxX5fnnLRzK/+h1omm\nUyj/aBaKCubNUuq0XQJaJiRTRJkR7q5dLKVO6+LQNiHlYkMbBANMlkyL5glon5fVNO8knMJ3uFSo\nq0pCh4RU97NeIny93U5uWEVS0DEBkaTcgAylrVVKAS4jLc9blQBzE3BEiK8um/bqaYlF8wQYe4Cp\n4ben/0Tef5uExEOPg9ZEWynlBMlwaZmQ59bTYP6R8JzNYDnDr07IazbSYD1DuAxvZ7CWQzQlfe1U\nXm41TB+hRsr5mnksKpN55ckw2poB1l/ldbZPQLNEvpnwuBBfRTJA9KQcE60LWDShMKicKhkurQpY\npMD8DeEbTsOlymONH4tHCafw9ZCbr7H8GLJSYM0nXIa3hZTLtfK4xZJgriacEmtZ1dbf9Iiebj+s\nXaKmS03CiBnbCJbn7785I2b8Wre1VNtBbRMte7dM6BG9QdGU00N8UXX1HD2iN7bq0yredmCbhGZr\nKSOq/7IJLMYaMWNHbbfaRPth7RJ6RE+bVeb9hCt2HmpWmp9VtK1IdhjePmFWmmmr2nqTcBneOqva\nWmjXWKkOw9snoi2jSavKXEG4PkLUqrJmG1Ej3f6o9onqjtUJo8L4ilBW0L/cDhg7m+IS/73tl77/\nn0ugGu/vZQJICzkBOtB9C+RMSOHAG70CyIl86foBTiwAR8jS7m9CvvEEJIUs5Yav+QeKPF9KgKN8\ng/sTclKcE9/gmoXEQgBCgZBkafF6Fcjm7+0bYUERiwOZl8fNEwfATZG/OyXkbF0cAOSC7zfCDTmG\nhALi6wo68ufKFK7hG5x3PxZf62xUeGiWS2VdUtRv8lA1lUxYVgywqlE816OmY1I0bnMVNyPIhReD\nKwgUIYRI7U0JJ+0oYSmHwBULSO9L42ZdcWBfQbYxozhpTf6l6eenCCFwUo5I7U0hhEBperwpQgi8\nrCtSe1JCeAJF/bqxCZ4rSO1JCS/nKQd+QwSpPUnhZBzlgEP5n2ejCKXaNm1/L3pfJ6QUa9hM6B9M\nIzR+BS0ul8pzhT2Tr4AHk5AZB/jznTOg4gE4K1qs89kLPJCEfZeA8FdtHS65z7Oikk0CMjXxWBK2\n3Q1Zf4PXlqCvg+OqJEVcQX5IXszA6ndKpEB1ybUe1k42INaQQeBdFxZ8lRfV8i3Drdeh53CYYsuJ\niiDf7b4BnB4EKv/MP0CrC6TaXWEH/wvg4SRkRxBYeipnQNUdcGa0uKe3G9l9vPFsCEiBDgHrLTjd\np9iXAP6WhJ03Q0AK9CDQV8MJFVIMSqGYQln3OgSkQC0wNsDRrSWLQ81jMdeB9zfkZVH90rrvwKED\nYKIlN64FsoT9pXrIdSWQyjP/AgedLlUCCxuUG5ASuLmBBDoDqRdCze8lTbKw770DOS4SJxEs3T4a\n7BclboVFQiPwUBL23ACOX2a4iyyqmhmTgmkK8mM5OwWbSmWGY0bU2DDmt6NbDLiwv6qoCm7W5a2r\n5+Q+uvfjT7MN2cMpfikUs8r8sN/ZfXuPufFoQ7d0hCdYetdH3huXv7knl3Q648spWlXWQ+2HtZt+\nwmPHR6wqud+37tX1PDV9diKXdPriq4LUbf0nNV1qfnXaG6dEK9vK/dtty7bz0Oi/JdN70scCb/mu\neVK0ReTJ0+fMirbqLff/9m1u4OGxjyT2bdx3tZt1/SmJg42oseSk52dEO4+RtWLp+jRPzXw6+dX7\nWx7JNmb9q50aPaJvmHjr+Jq+Z/dRFEXBSTu8/uM3sysfWbk005D1z5ZVs8L8ZOAlR3Qbef0IXTM0\nPNfjgz8t8eZeO29HLpHrjC/FZ1VZz3Qe22nCcQ9Mtc0KEyEEa55byzOnPhd3Us4hBNoD/svt355G\naIG4DGbEghveBwFjIyFysjfA1GiwSLMWqXNtXE8ALOsaKaHa0ecbBWZEwTufAN9L/Z5UuTvMdwoD\nKRGrDCUogTgZapvDSL2YfdCAERo0ryWY7ugJDIdj7eIqU0F+JA41IEDrqgDvQpgZDer/dwBG2WD9\nzHdQAfN6ed9+QkZz4NgoBGVDJY5jIkEKXyyPhfgRgXSAfjH0M6RYYwELEykR640jWOl5ArSuhKFa\ncShqwGgdKtsQpF/2A+1wmGwVWUcKktbZzQTlLJ9vLXhnyuvzs0u6AMNMMP0pMxX0X0i9dT9pqRVS\netguwcL+JYyPBjM8lXkslKsIUKKMH0lqYA8fFhZwQgTcEwie5OR2Qw+KDrz4CFVRpa9mahzzhzGG\nXW13JdigZKhVafUYd9NYo0DLU1SFIy7or3YY3sFGCUjr1rk5d8a0R47bH7wBuk3oysBLBphGzLjM\n56srqnLNCY8dvz94A9T1bc34W46J2jVWoEjIrrFumHDb+P3BG6S64LS/HRdTTTXQqMGsMK4Y8pPB\nZiF4y39vc8Kjx0e9nHcaPmaJoipndh3fxep3Tl+lwJ7RbZ0Jt44zNUvvQzB9OCbWOtbu6F+P0vON\nlFE1lSE/HqTW9WsdA/yp1I6e60047kEZvEGqFvY6vif9zu5j6Lbup5d+J+zvEcAfBRYiR+lm4Oy/\nwzm/qXUCWwRZRQXrpoDwt1RSIN1T8pFLrSPg1BGMfEOgewg+VUBVjkCu0RoFPUJ4aDrQySXQ2kkZ\nCAeHaXsij6v+7jlHQKdceKarRwRMfw6zB1Tmwmlr3VSCZe82ZNuV88tBKsNmuhOUkx0o8Sy1ZkDE\nI5BrNEZBjxBal0FeTtZXdacPDcdCAXrFCPCkGQhdRXjKvWdMPoP9dig0y4Sn3LvroPrlfWslTbK0\ncBAkFtmSqlvn8PAx1ArQDYKd5kdAj5D8rg3UpfF1BzKrzOG9pvUs43UqikKPqd1MglgM6D6lm1YI\n9H7reXyPCqvK8ss99Gndp1XGrilPuXeb1NXQLc3v20YzNav1YeVsuq7ju+CknUA3o2wi17vbhPJu\nb20HtAFBJb6ZkmpoR3Wf1LVsIEdbRGnes1kGX3WzVW2N6HlcjzJ5ZlVTyXO4A1j0nNajjIsO0OuE\nnpVGzPAXmR1+0OC2WTNW/ki6T+luGTEjbE/gW21/jwB+CtAWObVoj6QV/rOsHtJmuBRoA5Iel9aG\nogAAIABJREFUtt+E7AMY1sE+ASguAeErZU84Jc8FEgYB+oa3HRqaSKTt84K+Yjc0oWlJfQY8P0Vm\nD9Q3cd4GIX+v3zdphNPsGgDFzxTKguIEmTt+Xy1FsCt9fThuDpA2CKQuxI5w3ArnDuC2E+pDaHYA\n9emgL3ugvgkJ1Qa3HIt4E9K6pddAQua8Q1igEosSmqPWEI5FFsgV2g/lTewMx0IAjSo+/qubcXfU\nb9wXKq1b//m+LEGu7J76z+tDJVT3fdHguFk3gEXDl41aWB674ctGhPCrJ9KQS+X0AkOj1Fc1tMCN\na6bWuG9zORbp+jRezlMJDrBdYb7CEzRujev++3Oz7vZ9m/aFPuv6jfUupVhsCNGpBeo37su6WdfP\nidzTsLkhNCXRsLkB4Ypy/uS33L7rKZTtoC2R9Cm/ecDcFGRuDx5XHoR5mfJNpwU50J8iQLhO3wbz\nEuUB8WOB5IX5uM+Zu+DdZHkQ2ATs9AjS4R6TOew9Jb57gRUCuaIp2Fuwxw0y70Cm9N5NQsZPI9wI\nrJYd3f3mAnMTkL41eFB/HOaXBAGBVCRUHwwez9wu1fZKA+JiD9SPCNDh0nfAO4lyWdR1wL4M4OMd\new/Bx155kNsFrFEJ5uFfhq1KkMoIcl9iUQayfinQVeB+mcfTZw7ymQawSIP+omzN5jdBfqzcFzzu\n3CnHVikWi1zQ5xP4mKVvh/mJ8gnGaiC1Dx+f2c24f11650e5+LbgR3X7ih1snLNRBZ7xHX5u0/wv\ntG3LgjLD8e1xltz+Yc5JOf5r/jCzL7Nn9dNrAr65VI4F//VuPL03fZvv8D7d1ucsuikoMyw8wfxf\nLUi72QBtFeGJe+b/akEZB3vhbxc5ekR/GR+fNb03fduCG95NOJkgzCsf+US4aWcLxdJ/concve//\naXEmuStIBd+yZCtbPtiqAC/5Dj+17uV16q7VwU5oDV828PF9yzwv5z3kO/xu45Z4Ks8l32/ZRJZ3\n/mdhIl2fvoP/szL7R2/x+sSsThVFMSvzG4pZdf8GYlbTxDcXs5qcFyIa9g3ErMY40vebiFkNLYhZ\neXkxqzsIFbPSmxKzKq3cawnm5//vYlZ9kl8jZvVXqGn8/ylmFZaKa0LMyvgGYlbHi/8HMauVfCMx\nq0O/gZjVseJAYlZG1Lgu2iKaGHfzWG/WG6eIEb84KmdWmgmUEDErhZlmhZEYft1RuVlvnCLG3XKM\nF20ZTehR/YBiVlPvmyyadW8W/yZiVic8frxfzKo0rSHFrEa0l2JWzwfErNqW+JaJWfX//v9CzOqa\noQcWs7p+hDPrjVPE2N//L8Ss7p4kajpXN35Xxaz+GfbPuIjBoC2FSL7zt3IAOVnlDbAz8o86j6+V\nkyUvJxvJgr6SbyQna+fA+IZysnYOrF1AU93uAU6U3G/7m8jJDgd9eR6LJHJG/zVysuocHxZv8rVy\nsspTEt9IVlYkMqQJX5+cbCQnmSYBLQ+/KcDPwNqdx2IHB5STNb/M+34DOVn90zwWCeAhvlZOVn03\nj0UalAPIySrPSSzsLGgfEBKE8mYDdyuaHUe1c6phHEhO9nqr2tprN7NzZqW5Ffi6Po3fMyvNLXYz\nO2dVW3v5ejnZiUbUWGs3s3N2jR3nAHKymqW+b9faWbvWTima8rVysoqmvGzX2mm71s6qpvq1crIo\nPGDXWIlIMztrRPUDysla1VZ9HosDysmaVeZ2u9bOWdXWbg4gJ2vEjPV2Mztn/Z+c7AHtH30RA8Bo\nlLKaFwk4V8AhqXyBR2ngaidnSkdk4HwBFwgYnM3PJEt3Y2JgroAeSThbwMX52aGRAIaX+KpgPS9n\n/rME/CA/U7YToJxZfsnGr6E6P4P7gZD/rY6D8dtyX+U0eZ4pnvQ9rbDCeInywDVMznRHO/J6zxHQ\nM5mXRS0NXJ3lfQ/KwveF/DMgA8YOygNXlVy5HJKS+F4kYJQjcWdQia8G1puywOV0AZfkZ8pWAphZ\nfn/mn6A2Lme9P8ivGirjYPyi3Fc7X87Wj837nipk0Y35JOUv62j5rMa6EouzBHRNgvkh5cInPWWR\n0tCsHBPnCzg8DcYWygNXMynDe1gazhNwoZArAqMB6Fvia5hV5oKOIzskTnvrVHHh6u+LcTePdc1K\nM0Gw2a5EotK8t3mv5vGZz0wXF629QBz7wFQRax2L67Z+eRkSlvajaKto4tj7p4iL1l4gTnx2hmhx\nSIu4WWneH4LFJLPCTBzzhzHuhau/L05/+1TR8eiOCbPSXEh5Ec1hekRvGPbTobnvrzhPnPP+WeKw\n03qnjJixiXK2QGsjZnzV9+w+6XM/OEucv/w8ceRPBmf1qF5PsPEwgG1Wmku6jOucOGPuLHHhqvPF\nmN+OdvOz6rElvopZaT7eqk+r+EkvzBQXrb1ATL13soi0iCRUQy0TnNIj+s8r2lTEj3/4WHHR2gvE\njNkniGbdauNmhXlbqa+iMt2qMhPj/zTOu2jN98WsN04R7Ye1S5iV5tv88+pivqkdMHb+O8jJLoOJ\nfXwb+vlf+VQGVv8OXF8ptPkwDDwpKBsKMN+Dd1+GjI/Cp/wEul0Pp0aCl78KeHYDZLpRBHgS1D4O\nF1cEx8AO4K4kOK0oCnN0lUvzS+0gSyIJ3JKCbF/gs/zBqJST/V5MqtIVzAFuj8OeUyhylBWw1sJx\n3QL9lhHAoylY9yvwfCXk1rMwdAqMLEknvOnC4ich41s9aL+EnlfJLuh+LJYDL62EjH/GNQNa/RW+\nXxHMVGwB7mvIY1FIkPcG+wO4NBKMqY3An9KQKzCbAKqlhOqFkWAcyQG3xmHfccDbRSzMzTDzIMm/\nLpiH5GtvvAqELw9uvwEjRgcliUHKDH/0APg5yvrvofclcHwJ0+ZDAW8shrSf7XNG24Ftbj/7vTNj\n/qa7X7yzmUcmPLY7l8jVUdx3GRhtGZ17yfoLo1Zl8dT7Njdwe4+/pJ200xE5oABa6rb+xYWrv2/X\ndCzOUbLxLLd2vT2Z2JEcTVH7RjNixrZTXjqxRceRRUqs53rcP+zBxFfvb7kEuL9w3Kqx3hv966MH\nD7gwqGr5wnkvZVc+8sltTsrZTzs0YsZf+p7V55yJt44PzF7fv+UDMf9XC+am6zOj9x9UuLDjiA6/\nP/3tWVE/e2b96xt4asbTW7KN2fYUNxZGVbarfPHiNRfECl3pQbZUu7P3XSkn7balqHvQTo/on12y\n/iK7sk1xjpKuT/PnLrcn03vTR1LsAmXqEX3nmfNOq2o7sJjh8RyPu4+4L7Fj+Y5zCO67/Kvt354H\n3g5Ej/IVmwIMtUA/K3jcnQFDQr6yA1XITSCwjLLOhaGRcvx6AlodgbSLfRYcWVH+AW8FtHEIlm/P\ngD5aOcUtCvTVCc5Sx0KdGwzeIH/PkRVg+2VDu4PatnzioyDvwzw3eILcZBgUwskbokHuBAI3rp8N\nQ+1yLA4FRDck2Txv9rkwtKI8zdyWfFZrVPGYejL0N8onxJXkP0LTfQcnQQenfBJoAINjYPlXOn3B\nqi6n+6nA0CjY5/kOxiA7EgaEvAtDDPBOLjnH6XBkCE2yrwJOX3xl75Fm9veOvGJIrLRjeoej2lPZ\nttLAlwfXI/ppAy4+wvYHb5C86m6Tu7rA8b7Dx3ad0MX1B28As8JkwCUDbCNq+OWAB1fUVZj+4A2S\nknfkFUNikWa2v+NPczft9u93Tp+yoDHkskGmoikBmWHhiVOGXDaoLPXQ//zDlVzSOQpfrYRda593\n5BVDoqXUxy7HdMaqtqrwdTQyK8zTB/1wYNQfvAGada2lw8iOLsHVy7SDp/cS/uANkmPe//zDLc3U\n/Jz4Ec261eIP3gCqrnLkTwbH7Fq7CemEb6991wN4FAw3nBtsA8Kf41PANcLTflb+5/4ALmLhvipg\nOgQ2dJSqptOJUTXoSwyiTSzVogaoFUHfSBNf4Aig+DnUUXldYY/UBoQ/Smog1HLN7oKvZxCI1iIS\nfn8aIVhUNo1FhKCvWgmRr8GiFLdIE+M1opRgEQPLDZ+82Mhnu98sUEV4CjQCeCUpBu9rsNBdgl+j\nijD+NYBdawt896fqalWk1g69v2iLqE4JFpHmkVC51UgzW1X1IBZ2jRW6FLdrbUDxYxFRTdXVzPJT\n27URhCsCA8ZzPCvs/vSIjqIpHv4BJojZIaqviqJg19guASyU6kitHTruo80jZe9TpHkkNH8daR7R\nFE0JvE92E0rOdq2NoipN7Y98a+27HsA3QDYTFHUr2CoPlLm+AwLsD4PCgAX7DDDWEZDxE6/DpyG8\n3F1AXCVQip1+CVaWyV/KTMEGnaCS3DxYkSinoQlgeRw8/zW/CxvNckoewIqk/L37bRUklEBT9P32\nqQPC3xQ3A9ZqyYYstdWA/TFBOdm3JZ6ltg3I5Ag0pM28CCtDSNUp8nKy/k7sb8KKxvJUnwesTBPo\nNsQ8WKeGc/6XxyH9su/Ax1BvlHdtB6ka6b7qO7AXtK8CrND9tgow3w8e0+bDqpCA+CXgNeLjOWYT\nuZc+efzTsoeX2JFgx/IdFj4aYbYx++qKh1fGSyl5bs5l1ezVLiVYrHlmjVdQ3yuYEIIVD3/SmGnI\n+u9v8c5Pdlml9ESAT59Ylckls37ctiCo/3JhKVUTVs9eLTRT849jjJixqJSeCLBxziY0Q91GkOf+\n6qdPri4jmO/b3MDedXtNfF3p0/WZl1f8bWXZBTsZh89eWqcQoKIy79MnVmU8Nzg8JRYrG52U4x/3\ni7Z8sNVK7Skfnp88+mkq05B5sewH33L7rgdwB7yfw2OJoiSIh4yt89IhcrJXS4nQDeQFmZBc7WdT\nkLki6Jv9DSxKy/RZYXDsBB5NgPLfBCRUxQPweSMscIsBpgGpm6I+Q1CT9m1IrJVSs4WBlEL+PbEe\n8A+4L0B9Uup3FIogcsA7LmyIl2i3ZIAbpG8hiHtIkcj30pD9nxIsrpD3vcmHxefACylIl9CvMjfA\n/JSk6haw2J6/P/ELAlHVu1vqcy/0iundfcAjSdAeRkb9gr0M9Zvh5WwRziTwbBqyy5EVvgX7DHgV\nnkgVlXyzwBwHvtxHUEI1Acrv4G+JYgxxkdKzi9OQ89MOBWSvgNnJYuwVSN76K0lI/7QEi+uktO5q\nHxZbgSeS4FztO4ibcW9d+egnqSW3fyjcrAy29RvreXTy40nVUP9CsBjgmV2rdm1/68q3c4VCmsTO\nBM+c8lzay3oL8QU4YJnnigVPn/RsOrFTbq1k41nevnpObufKHbvwtUgD6lVdufXRSY8n9n4uP2hu\nzuXDvywVyx9ckXbS7p98vp6Tdq56auYzya1L5WMSnmDtC5/x1tVzUpl9QZnhTH3mmtcvezO57pX1\nFD48X32whWdOeTaZacxeie/LnEvmblp690fpj+5dJjxHQrRn3R4enfR4UtGUmwgW/Ty2ZfHW+rnX\nzXNySTm04tvjPDl9dgrBG0jwC7Yol8h+/NwZL6STu+UcKtOQ4bUfvZGt31D/FUEdm+2qod7/2JQn\nkvu+kLUHTsbh/T8u9tY8uybl5bwAz/3/TNo/gQqjXwLGPqhMSxqYtY6gdoTfpoK5FaJpiKXB3AlK\nWNNYgAFS3tPKQlVKSozqTdH9OkqxJSML1am83OqfCZfKrJZ9GPWCbxaspwmKcRTMkLKtelr6Glmw\n3iWc7qdIXrXRKK/Xys+0y5giBfcZYO6QOEQzEpdynm3ehkpc7YzE2WgA/YdNYNENrPd9WKTyXO2w\ndElzKZe7H4sMWI9R3lsMJB/9L9JnPxZzKe+zVsDiZ7L6tioFZhaslQR3u32mzpL1BBVpiGQkVZGJ\nTWAxCqyNEouKNBj1TUvPcrBVbS01K4xsVfuqlG7rSSNq/Dfhk6dWVrX1qh7Rs9Udq1K6rWfMSvMB\nyvnXABGz0vyrbmuZ6o5VKT2iZ61q63XKN0wAVCNqXK/berKqfVXKrDSzVrX1Mb42Zn7TTPU8I2bs\nrWhTkbZr7YxVZW4ERof5AuPNSnNzpHkkE6uLpY2YsbukjZnf+lrV1gqz0sxWtatM6RE9YUSN6wgf\nQwdZ1dbberSAhZYxK827CM9fVZiV5iO6rfuxeJFwKrFmxIzf6raequpQlTJiRtaqtj6gvJ7h22AH\njJ3f9Rk4gAXaMaAYsmdiXQ6cg0AfHOKrgHG01L5o48k/XgUYownFQj0C3I7QJit1hzQVtLGEv1A9\nwe0DLTPSN5pDDvowoZb24B0JNWloo0BNRv7dvxm435rL80Ry8rwtM/L3hHLXIxILVZW+bXLy+tUB\nIb4qGGPAq4Q6D9o6EhfzaEJfKG2wxLUuJ3FWdfm7QhPph4B7KLTOSBae7YIyhnAt547gDZbaJW0U\nqMqAdxTh4iStgKMhlpW+LTLg9iNINSlYhbw+A4lFXRacLqCGBXAN9GNkbryNJzee3RZgDA/DQrf1\noZqVq+s8ps7pPqVOmJWYVpV2DGGJdIXeTtrp2apP60yb/q0Vs8r0VF0ZQzg3v4ubdQc2616bqevf\nRqloE8sixAjCtdHrEGJErE1Fpq5/G6VZj2YZN+sOoJwOC1Cl6soxZqXhtenfWmndp1XGyTjdUcoK\n0gAM3dbHomC36V/ntelf5zgZt06P6ENDfBUjagx3c26Luv6tnTb96zwgqtv6MYRsTCma0tdJO11b\n92uVretfhx7VUXVlLOEf625u1u3fomfzTF3/NkqsVSyLYBTlBXcABwlPHFXZvjJT179Oada1NuPl\n3MGEi/3UKpoyxqqx3Db962h1WMuMk3EOISg4952xfwMaoXk7dDgLTooU35964J4kxGcCvhyf8n1o\n/gfZab4Qg9NI2dAdvwT3d74Tj4DIK7LzdyEGu8DsNKyfXdLBvoPsrn5arKheKJDL+/dXQuZwn68N\nxmaY0jzYMX25gBf2QK49gZp860MY1Ecq9BXcv0DS4XKHEuiLZj0InWfCDLs42d2D7GqemgLMKfpq\nl0HLG6QsamHfLYnsYL/7CvD8ZcXjIfa0xKIQgx1kOmPjQ5D1F5t0B+Njed7CxNgD3sjB0sWQ8QtJ\nVYC+GabVBCeDSwW8sh1yHSimZxTJZz+qBwzXilhsAB5JgNOdwGaINRt6TJZ0v0Is2Qncm4S0n2YH\n6NdB3VVSLrfwPYoD9yVgT0kHe6ZVtqt8+JxFZ0WrDpJxJ5fK8diUJ5JffbDljlw85+tgz2Fmpbno\nzAWnR+v6yomx53q8esnr2ZWPfjIvsy/jZyfV6hF944wnT6jqPlmyZ4QQLL51iTfnmrmbs/FcF4rp\nGdWsMNePumFEh0GXDlQLQk7rXlnPk9NnNzoppxO+9IxVbb16yIkHj5p0xwSrwIjZvnwH9x/1YDLb\nmB0KLCv4GjHjt20HtLn4lJdP2s8CadzSyH1DHkg0bG44k2B6ZlZNl5o7z154Rqyitdz/y8az/G38\no8ltH2//vZN0/Fz+gVa1NffshWdEWx4iiTqe4/HCuS9l1jy39pWSDvat9Yi+/qTnZ8a6jO28H4uF\nN77nvvPrheuzjdleFGenhhEzNo27aWxd//MP3/8+rX5mDc/Mem6fk3La4+ueZVVbC/qe3WfQuD+M\nNQuMmC1LtvLgqIeTuUSuP4FWif9y+7enEcbAOwuOjQQnPzXAuCjYPw+6m9fAlFhwAm0jJWbVktSI\n/VMpoeqfQGtIXW53OoFyc/1CKaHqp2opwCgd9O4E1Ag5AdpYweAN0EeBthZB+cvDQesFR+vB59gB\nOFyT0q37rRbcmTDVDmYqmiGlde1rghenXS3v20+aiCLx0f3Ss0gcx0WDE2gdmBoB73QCMyjjhzDY\nCGY1VGCsAUo/giT1k6GTXr6S769AyxhwrO/gULDbB4M3SCHEwzRZ5LPfWoM7SUrP+ieCLclL617t\nO6iB8uO8jK7vcAUwKQZWIO9r19o/H//HY/YHb5Ad3qfeOzkqHHEBviW+WWleNvSKIVYheIOk7427\neawpXDEcXxpMUZUzuk/upheCN0iGxqAfDFSr2lc1I0hFHVt5UEVzf/AG6DaxKz2mdtcULSCt21G4\n3sjxfzzG8tMZW/dpxbCrjrTMStNfJGQJT1w49b7JAQpfZdtKxv/pmJhdE8TCqraunXjb+P3BGySV\nceq9k6PApfgGolVlXTniuqPsQvAGSd+bcOs4y825E/CtMlRDPe/QEw9WC8G7gMXQq47UIs0ibQkW\n0k1u3qNZhT94A/Sa1pNOR3fUS6R1ewFHjL1xtOmnM7Yd0IZBPxhgGjHDr/H/nbDvegBvDxEnvGtZ\nB8DzpxkUyLQPz1K0BdwaApFd9Ib2IV+/KFCdISihOgA6heS6VaCDILA8Uw6FLk3IyXatANUfzQ6B\n9m74Y+pkgeEv3+4s0w9hEqodFBD+wGmD0yw8S9EByB5EsCv9weG4VQJRh0Dlpj4AOoTQujTgIIcA\nFno/6NIEdatLLOjLodBJDZ+QdLLB9GPRQ6ZkwtKlHVRQ+vgO1AKR8JV5ByDXyX/ESTs92g8rT7nX\ndKrBqDDAV7mpGVr/9sPbl6USdFundd9WGXykfbPCOKLT6I5hqTk6j+lsEfzwHdJpdCczTEK185hO\nUbPC9Otl92rZu2XGCGHadRjRXtMMzb86bK3bulrbpTzT1eGo9jhpJ5CqyiVzncOwaNGrBaqqWvgm\nOYqm9Gt/VPuygWxVWjTv0TyDLwdtVphHdDy6Y5k8s6IodDq6o0oJFp3Hdg7HbWznmBE1/Cmzg9sO\naJMLo0l2GNlB1229KTmEb6191wP4DkiZAULIftsJqH65NiE3m3aF+O4FlCyB1IWyJdw3BzRYBNgU\n7gbY2YTU6Q6BLEMsXMaXsD2EcgiwLQmen8P1lbyPsL2MnS64n/v/MTRa4TS7nYDi51pmQEmXKyKC\nvGd9H0E52W3hWGSApEmxQhDwPoddIZRDAexSCWDhboLtYTquSCz8vnwFO0LlVmGnA87nQd99Zri0\n7k4ISho2yDZuYRKxuwDdL12KZmo7dq/eXeaZ2pMiG89q+KhzwvM27Vq1u+zhCU+w57M9Or4O9rm0\n8/nOlTtDZVG3L9ueIdDtnq+2L98RKsO7Y8XOrJMOYrF33V69lGYHsPPT3UJ4ws+Q2pNL5rQCm8Nv\nu1btQrP0gNyqbuu7w7CIb4uTpzj6ZSa/2BXi6+Zc9m2sN/A9ayftfL7zk12hcrnbl+9wKMViWfgY\n2rFiR9pJOxv9vrtW71bDpHV3rdotPMfbWPaDb7l91wP4HtDehHm5YJDLAW8lIH1T0F3cAW+kgi+2\nB7yZAfU+AkErfTO8HSKL+q4D2mICQSB7B7yXLZdF/QRoSBDsAfoYfKYExyDI8btWISgnOx8aG31K\nm3lrAN7LQNYvl7sF1EXwTkmQyyDvI4CFB+q98EYmyEf3kPhQIquZvgneTEjant/m50CbQyC6Z/4M\n76R9ace8LROQ2gUsKh4TD8l721bi+wWwUQGe9B18DXZny1OUe4EPcpDzU8A2ACvhvZIIngbmJOSz\n3W9Z0P4Gb5XIDLvkx0qgU3m2MXvLW1fNSTrpIsxCCOZeNz+rm/qL+G48XZ/544LrFyRLZVE/vHOp\n56SdLyiWeONlvfuW3b/cK5VF3ThnI1uWbBXA877DL2xbus3b8ObnAd/da3fz8X3LXDfj3us7vNLN\nuhs/vGNpIIIndydZcP2CZLo+/Uff4bhuac/O+dm8rD/IORmHt66ak8zGs7f4z+GknT+9eeXbyQJF\nsoDF29fMzWim9hi+lye9N33LvOvmJ9L1wcnWB39c7ArBKoryETgp564P71jq7N2wN+D72cvr2LVq\nlwP4ee6zv5i/Wdn8brAT2o6VO/jksU+FcIV//2JxpiGzY9n9ywMRPL49zrv/szCV2Zf5M/9nZfaP\nphG2BnM9tGuEyQLGelIMyXyS8g+UDeYCaN4I4wVMKEiMLqFc7CkvixpLwNEuTBHQsRGMLwmlremX\ng5mEYTkptnRwIj+TDekerxwrO6D3T0vfI9Ly78rx5b70lxK2ByekPOuwnPw9+lUhvgeB+YW8zikC\nRrsQi4P5AOW5hxiYi+X9TxASj+aNYL5LeW17Xha1Mg5jPIlz+0YpRxumUmdcB1YSjsrJa+4ZB2MP\noSp1yklgJGFAHot+KUn9C5PhZQjoDVK+9VgBR2bzWIS1wuoku8F3zmMxyoVoQm56l2FRBeYyKR08\nUcA4D2obwXyLchqoblaaz1V1qGocc+Nob+Jt40WbAW0azQpzDSGMIyNm3GjX2onhPx/mTL5roug2\nsWvciBo7CWERqYZ6phE1kgN/OCAz5Z5J4rDTeif1iB4Hjg65v5F6RG/sPevQ5JR7JolBlw7MGDEj\nqZnaOSG+PYyosaPrhC7xyXdNFMOvPcqJNLMTZoXxuxDfZmaFuarNEXWNE28bL8bcONqr7ljVaFaa\nL1JOAzXNSvONmi41jWN/N9qb8OdxonW/1o1mpbmCcpaNYlYYt0ZaRBIjfzncmXznRNF5TKdGI2Zs\nI6R7vGZpFxoVRnLIZYOyU+6ZJA49+ZBkXno2jA0zXo/oib5n9UlNuWeSGHBR/4we1ZOKpoSpgfY2\novruHlO7x6fcPUkcdc1Qx6q2kkbMCJPh/Vfbf4QaIchdvtVgeKDlNHiNcG4wwME6LATNBd3VZaPf\nw5vwba3D86DlwPB0WXEYFlgAoqDenec8e1KEivOa8NVA+aUMRoYn/6tcT7gmAMC5oG/P+6ZAvYfw\nZDfAeNlg2fBAz4H+Ak1LgfYFfbGUI9Bd0N+jCW4wslnxq/Kchgf6GprmBleC9oDkrhueFKGiKW6w\nDsr/SI1sw5MfK+UawleHCnAR6LvyvklQb6f8g1OwqaBvzPtmQX8an1ZJiQ3QI/rHKIaHoru6rS+g\naW5wRy2ivaVHdceIGZ4e0T8BhjXhW6NZ2qN6VM8YMcPTItqXwIlN+Jqqod6kR/RE/rx7ULmc8MS/\ngsplekTfk/dNqIZ6M+F1BwAz9Ii22YgZnh7VM5qlPU44rRNgmB7RVxpRw9OjuqNHtLfcvvZ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aGQPQv806DJEHv4sInkTB2SfSF1Jvj9IKWL1XFYwUZfAw6fBk1ngT8UsjpkVbgpxLdGKPbVNMFk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WssyAzSOg9RjQLUTw71lR4f2JlCh2mzPFgg96wKlnQ6AMsZx+BVJbYa1HDcy/OAseaAWXzoBQ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\nRfaoDvCQkBn+FpCPd1rw8miYPLZ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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "gdc = clf.predict(gd)\n", "scatter(gd[:,0], gd[:,1], s=50, c=gdc);" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "# 20. 用數學的方式算數學\n", "\n", "我們來做所謂的「符號式」運算。" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 符號式計算套件 SymPy" ] }, { "cell_type": "code", "execution_count": 101, "metadata": { "collapsed": true }, "outputs": [], "source": [ "from sympy import *" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 讓式子美化的魔術" ] }, { "cell_type": "code", "execution_count": 102, "metadata": { "collapsed": true }, "outputs": [], "source": [ "init_printing()" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 要先設什麼是變數\n", "\n", "我們要告訴 Python, 例如 x 是一個變數。" ] }, { "cell_type": "code", "execution_count": 103, "metadata": { "collapsed": true }, "outputs": [], "source": [ "x = symbols(\"x\")" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 求反導數" ] }, { "cell_type": "code", "execution_count": 104, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAPYAAAAqBAMAAABywLuvAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAv3aB7AAAAD3RSTlMAVO8Qq5l2zWYiuzKJ\nRN0MreaOAAAACXBIWXMAAA7EAAAOxAGVKw4bAAADC0lEQVRYCe2WPWhTURTH/+lLk+bToCDoUCO4\nifgGaRGKuChkUDNUEHEI1AaUQB0KwWqxk4qD1KGggqKQwY/BDnVySECiS6QO4mijSFUQiQYdrBLv\nR3JzP15juU9w6YV3Oefcc37/3Ptu7n3Af20b3X8gbwVxDhzxr20NmfCvDVhCLMvUF2UJsSxb16Yr\nYLl4lmXra76+5uoe+Ls3untyxisr4hmlmQOzRr4/yMJ5DXhT8yU3I9mKaQlxdigU4Kzmt116YQ17\nDwG2kJIKHMiqPvf4hRXPeY3RWG/IZl5mQrSypPlSWSU9iZw0h5h9b0hbm5+CMkQru22CWYSdgtOr\nDOrz1iCKNiQI0R7JvwBeVS+eJuhx8gydvFXIaTJM+6gWFK4HxMlnXj/jCaq2BCkh9gnRXKKJjyGS\neo8sbWVgOXlGcLnBtC9pQeGaEIzgau4DT1C1JUgJyQpiK8E6DtPMt0DcjTcD+mtn2oNCTDNMCJ5i\n0d3C01TtQbRoa5CxEsop4Fd/mmvvIvNG+A4rGv5C2zlmM+0yNaVoDwhcTLHC58Xiu2JxUoMwl2hv\newn8jKw422mAaAMbcrRXWldbCbcdLwh+dDLVebMJ8CE+7++RQmGeBsiaA2VmUks0pv1GuJrhBYmt\ndJJUbQlSQl8Wid8BMnnayF4LuBMIudwVPdOWtokYYIYJwaZQA2M8S9WWIA8Q24lwJTH9ZJZmVoGl\n1CNc51Xdnmmf6PqqZUISX6ONzrWkanchC60M5mqHgAutb1kCJCuyJz90bEZlg19YfNtpQ8T1gDgH\nx8YvtzM72gIyd/yhDImmnGvLJLDamUpzI3Xay21tkI42qyQQZz8W26+YhbaS/gp5vO8SlgLjLlkj\nZC8vF5Cgi760FNs3D9yl/n0pqJnGHWoJ6asjKP4ERMOp5atEHujx7WD8LEtIuKlqiyl2NqcICMP8\nZrKHJJsCa29YQpYq9pKi0hLyXgB8GHaQfnqU+G2WEPqF4rvZQQJZ3PAtbQl5DJzyrW0HiXyujdb9\naltCwuR7x7e2HeQP5F0IVu2DK7YAAAAASUVORK5CYII=\n", "text/latex": [ "$$\\frac{1}{2} \\log{\\left (x - 1 \\right )} - \\frac{1}{2} \\log{\\left (x + 1 \\right )}$$" ], "text/plain": [ "log(x - 1) log(x + 1)\n", "────────── - ──────────\n", " 2 2 " ] }, "execution_count": 104, "metadata": {}, "output_type": "execute_result" } ], "source": [ "integrate(1/(x**2-1))" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 定積分" ] }, { "cell_type": "code", "execution_count": 105, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAASIAAAAqBAMAAADltEtcAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA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\n", "text/latex": [ "$$- \\frac{1}{2} \\log{\\left (4 \\right )} + \\frac{1}{2} \\log{\\left (2 \\right )} + \\frac{1}{2} \\log{\\left (3 \\right )}$$" ], "text/plain": [ " log(4) log(2) log(3)\n", "- ────── + ────── + ──────\n", " 2 2 2 " ] }, "execution_count": 105, "metadata": {}, "output_type": "execute_result" } ], "source": [ "integrate(1/(x**2-1), (x, 2,3))" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 秀式子" ] }, { "cell_type": "code", "execution_count": 106, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAG4AAABKBAMAAACoSHzoAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA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\nQmCC\n", "text/latex": [ "$$\\int_{2}^{3} \\frac{1}{x^{2} - 1}\\, dx$$" ], "text/plain": [ "3 \n", "⌠ \n", "⎮ 1 \n", "⎮ ────── dx\n", "⎮ 2 \n", "⎮ x - 1 \n", "⌡ \n", "2 " ] }, "execution_count": 106, "metadata": {}, "output_type": "execute_result" } ], "source": [ "Integral(1/(x**2-1), (x,2,3))" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 互動一下" ] }, { "cell_type": "code", "execution_count": 107, "metadata": { "collapsed": true }, "outputs": [], "source": [ "def ntaylor(n):\n", " expr = sin(x).series(x,0,n).removeO()\n", " display(expr)\n", " f = lambdify(x, expr, \"numpy\")\n", " a = linspace(-10,10,300)\n", " plt.plot(a, f(a));\n", " plt.ylim(-1,1);" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## 開始!" ] }, { "cell_type": "code", "execution_count": 108, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAhUAAAAwBAMAAABUNJXhAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAv3aB7AAAAD3RSTlMAEHarIkSJZt3NVLsy\nme8Q6PJIAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAIlklEQVRoBe1abYhcVxl+7nzuzudNCiH9YXe6\nlUDBkGlaTZHWjNAP/RF3KARUqDuNMFHSNUOFVhDSxZRiLJJNRduYglMq2j91N1T/GDWjlYA/wk6I\nppS4soEEtZV2p02aZBMzvuc9596ZuXvOvXduR/2TA3vmnPd9n+d53/d+zNydAYzjT0Bq811Gd4CD\n0BB/Q43X6uHCUy+vs/0j3/jjU8aA4as6eS/wJs4aGf0dAi3+hhqxcqwdChDvdq/5B053y8aACFW9\nCpzB00bGAAehIf6GGcVqohMqPr5z51H/wC//3uyPUBVXEvW84D4M24upFi6ZS+jzZJCp9m01y50a\nW880dFWiEutfPYLhVgI9bC8mWlgNqbIhIO7RyVPmiOGrEpXcWTIz+nui9KLQzF32Z3W9Qff0B/Ft\nN3bNYviqRDWR752RrpHMQizcNYLcwpoCvYbFitfS20e6RrDY7DEMtYpyXuAPn7gYTiQV9H5zFyZ8\n7ihDV/WquFtMNcIltyYqSi8sJIOPNyuN19YIDhrOY8oetLi7KFX9AngG+0yMLrVhQWiIv2FGtpRt\nhYsvBB2ixzBjZBqmKmvynkd2YcfBrTix6R4jo8nRQwuGsGP9HQ9uKiUn/xwYz4EYqxoDpX5qpqaJ\nkL5hqtqAb5UOaJjCmSKhrVr6O2NzIQSCA/30/Xx68cew1/6p3hXCGgmdslOdTCUEe3Cgn76fTy9u\n44jeEcoaCW1hfCEUe3Cgn76fzyT/vskRyh4JXSyF4gaCA/30/XzaBHLXteaQxmjoxVZI+sBAP30/\nn1b/5dgKbtd6whgjoTP2FsTsEPTBgX76fj6teHI1u5JoaF0hjNHQ083jeDgEOwID/fT9fHpxa+vt\nm83/FNJjetZo6Fsm178Zqv2BgX76fr5eBTdXNzvwf+9ApjTqFCIzRgaOqoLRJxCZMTLwZi9G1YEe\nz+gPRmRGByiffnsp/s9WTgKjE4zMqIDBT7+jy3WQKXLmgzR9u8iMCqiefrsRhsji1u+K8ZJYhmeg\n4NThwy/+8/DhMi2LAUDBHSQzyLgmFXJbL4pED7Ro2Se4MgAMfvql8P/KiHwUjdlEZnSBwU+/RvGP\n5HAT+Egs/eDIjC4w8Om3X26EazeBkXFGZlTA4KffkaXqIYqcuYent43MqICBT789qRGvImduzCMy\nowK6T7/1TS3sOPsb8JTbf6Zex8d2Pw4klo61YJ15kqbJmSqkkT3enB6q/5rcdfr+gCfpFrQMZAqJ\nlh4380R9T5PeWXY9rrRYZv2mvygtGd2bn7dPNh2ekwMxLqMM5mq0mZJfyLnDA7y1mp+zythb5SlN\n73Mf4MfYWMEtSF3CeNN6Bnng05BG9rhUcpFoY75h/R1fqPBE3xHZ9GZItBLIFBIt462KItiBzGVY\nP8RbUkvKtBFv9kerWHp5r/uhygJ4zl0Jv8vI2lyInoJChZw7+oDC9ltkF+I2Css85StAOb2M1Bzo\nq+x3sQ/4On4OfB5slB4MjtgqirPxZcTbPFn3b6deCFoJZAotcEsTV5Bt45jUYplMA4k5bTR+tLUC\n5Ym946wwMFibC1GBA16xYbk1VmlIim9zC7OIX+cpRSdRK1tGpoN/ANtbrwPz9h5gI9goPR6q5AVM\nzBXnkFrhCdhig2nBQKbQAr9Sta5iukJ0rMXRqQVYs9polClQeR4+4qw8uQhtLkRPASnnBal9dpkW\n4x3qBU+0eQTFMpKr+IlNvfiA0M3po9gtjdKjoH0v842JBcSu88S9YFowkCkMQLpGfidoWIujk9fs\nVEMfLXqhPLUjzqovCV5SL7gQPQWknBek9sWXdtG9ChjrONMCJtpI8hcJB9f9m3pRinefbEij61Fo\n9WI9iwKdF5d44l5IWgG0mMIA3FjD1RObq4LmoM0y2H55dy+BAZltT/xVedKVI4YYcV7QGOsYBF25\nAWa1mXgBhSatp2tqSjUwVUOOblNIfpigl8Ua9l61pdHxkLNvJL52ii4QjF/miXuhaAkoKfTAh75v\nW1cbeJu4kqQkZJDqHnIT6NOg5VFMVSXPevpmT8+oejFdM7gduUFmtZvoIH+O1vvFXkwTwFRb9mKs\nnKCDuljLfPLgBWl0PCK4f3yjiufxs1U5iXwkrQBKCgMwdcHq2vgbtWCM7lFCBq988UbVEI3srPTU\nRC9Ukv1p0FqeF/tNbkfOg5Lb4izS9MOgfJu2PN1J7VDXyBLkCf5NxG7YbHQ8XqrCOaQnT1yXk8hH\n0gqgvMxMwHftK8DTVWAJYJl0GVvOmaLzF9mTaVEvDDHcCyrE4KY3LpbzFsB7+qY/TT8Y2yw2PD3H\nN6gM/aBO/PCUbnzzzfN0cjTpZpRZ5cnLk6ggS+GIi1uOmCgfSctAptACHwCONw9Qcg3W4uhCBTm9\nTFzckZhnA6gXWkZ1XlAhBjeknLcEuY8vi/Mi08YDcrIo9ewC0lTSa0hUjlGm61aoxAYblWeQqtiR\nvRgvk11M1AumtRgoKGwtkC6P483P8IEirc9yNF2i2KaNphtzvsOeV+6++8ZWbYzshajG4IaUGyzA\n2eXofrGMk8DH5ZSjO0R6Gfk55NqIVeiD0lugA5atsFF6MDgKCxi7mD6PxQpPnI+kZSBTaIHv0LtH\nZZHuF1KLo+m8wC+10Xm6qcw5Hv6sRUmuGeIaEdU4gd4AlvManf2ncFsz8Wz99CxPyFAv8D3c1sLn\n6jP3YqxJP/X6ko0nlJE9DlS9phuYL8UOWS+AJ3lsBK0EMoWk9ACfQuZ9xGvW21KLZZKHkC5po+mj\n/r6K47mm8vEwsrYsRJcpRbPcGpQypJbuwzg9hczyhIR4g9sweR99/ul2r8DadUcLuftnqsrIHi/V\no0u/AmaWKIan0+/9oAFBK4FMISk9wOTSWYE53ZJaUuaNM/R5Ryuz46unHM+e7jZ9jNCWhWgpKAEh\nd3MEdeA/hRS2VCvywjMAAAAASUVORK5CYII=\n", "text/latex": [ "$$\\frac{x^{13}}{6227020800} - \\frac{x^{11}}{39916800} + \\frac{x^{9}}{362880} - \\frac{x^{7}}{5040} + \\frac{x^{5}}{120} - \\frac{x^{3}}{6} + x$$" ], "text/plain": [ " 13 11 9 7 5 3 \n", " x x x x x x \n", "────────── - ──────── + ────── - ──── + ─── - ── + x\n", "6227020800 39916800 362880 5040 120 6 " ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "interact(ntaylor, n = (1,30));" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "![問題](images/question.png)" ] } ], "metadata": { "celltoolbar": "Slideshow", "kernelspec": { "display_name": "Python 2", "language": "python", "name": "python2" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 2 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython2", "version": "2.7.10" } }, "nbformat": 4, "nbformat_minor": 0 }