{ "cells": [ { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "# The Jupyter Notebook \n", "\n", "It is a ```web application``` that allows you to create and share documents that contain \n", "- live code\n", "- equations\n", "- visualizations\n", "- explanatory text" ] }, { "cell_type": "markdown", "metadata": { "ExecuteTime": { "end_time": "2016-10-21T19:12:33.661328", "start_time": "2016-10-21T19:12:33.656067" }, "slideshow": { "slide_type": "subslide" } }, "source": [ "Uses include: \n", "- data cleaning and transformation, \n", "- numerical simulation, \n", "- statistical modeling, \n", "- machine learning \n", "- and much more." ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": false, "slideshow": { "slide_type": "slide" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "hello world\n" ] } ], "source": [ "print 'hello world'" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": false, "slideshow": { "slide_type": "slide" } }, "outputs": [ { "data": { "text/plain": [ "2" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "1 + 1" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "$E = MC^2$" ] }, { "cell_type": "markdown", "metadata": { "ExecuteTime": { "end_time": "2016-10-24T22:38:25.581356", "start_time": "2016-10-24T22:38:25.576650" }, "slideshow": { "slide_type": "subslide" } }, "source": [ "\\begin{align}\n", "\\dot{x} & = \\sigma(y-x) \\\\\n", "\\dot{y} & = \\rho x - y - xz \\\\\n", "\\dot{z} & = -\\beta z + xy\n", "\\end{align}" ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "ExecuteTime": { "end_time": "2016-10-21T19:15:43.128652", "start_time": "2016-10-21T19:15:42.887900" }, "collapsed": false, "slideshow": { "slide_type": "slide" } }, "outputs": [ { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "%matplotlib inline\n", "import matplotlib.pyplot as plt\n", "\n", "xi = [1, 2, 3, 4, 5]\n", "y = [3, 5, 9, 13, 16]\n", "\n", "plt.plot(xi, y, 'gs')\n", "plt.xlabel('$x_i$', fontsize = 20)\n", "plt.ylabel('$y$', fontsize = 20)\n", "plt.title('$Scatter\\,Plot$', fontsize = 20)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "# 一级标题\n", "## 二级标题\n", "复旦大学是一个非常棒的大学！" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "# 运行C代码\n", "\n", "C functions are typically split into header files (.h) where things are declared but not defined, and implementation files (.c) where they are defined. http://people.duke.edu/~ccc14/sta-663/CrashCourseInC.html#a-tutorial-example-coding-a-fibonacci-function-in-c" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "ExecuteTime": { "end_time": "2016-10-21T18:51:10.219289", "start_time": "2016-10-21T18:51:10.212948" }, "collapsed": false, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Writing hello.c\n" ] } ], "source": [ "%%file hello.c\n", "#include \n", "\n", "int main() {\n", " printf(\"Hello, world!\");\n", "}" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "ExecuteTime": { "end_time": "2016-10-21T19:08:26.650802", "start_time": "2016-10-21T19:08:26.508656" }, "collapsed": true, "slideshow": { "slide_type": "subslide" } }, "outputs": [], "source": [ "! gcc hello.c -o hello # 编译" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "ExecuteTime": { "end_time": "2016-10-21T19:08:33.816833", "start_time": "2016-10-21T19:08:33.704293" }, "collapsed": false, "slideshow": { "slide_type": "fragment" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Hello, world!" ] } ], "source": [ "! ./hello # 执行" ] }, { "cell_type": "markdown", "metadata": { "ExecuteTime": { "end_time": "2016-10-21T18:54:59.194121", "start_time": "2016-10-21T18:54:59.191115" }, "slideshow": { "slide_type": "slide" } }, "source": [ "# END" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "ExecuteTime": { "end_time": "2016-10-24T22:47:59.494539", "start_time": "2016-10-24T22:47:59.489522" }, "collapsed": false, "slideshow": { "slide_type": "slide" } }, "outputs": [ { "data": { "application/json": { "cell": { "!": "OSMagics", "HTML": "Other", "SVG": "Other", "bash": "Other", "capture": "ExecutionMagics", "debug": "ExecutionMagics", "file": "Other", "html": "DisplayMagics", "javascript": "DisplayMagics", "latex": "DisplayMagics", "perl": "Other", "prun": "ExecutionMagics", "pypy": "Other", "python": "Other", "python2": "Other", "python3": "Other", "ruby": "Other", "script": "ScriptMagics", "sh": "Other", "svg": "DisplayMagics", "sx": "OSMagics", "system": "OSMagics", "time": "ExecutionMagics", "timeit": "ExecutionMagics", "writefile": "OSMagics" }, "line": { "alias": "OSMagics", "alias_magic": "BasicMagics", "autocall": "AutoMagics", "automagic": "AutoMagics", "autosave": "KernelMagics", "bookmark": "OSMagics", "cat": "Other", "cd": "OSMagics", "clear": "KernelMagics", "colors": "BasicMagics", "config": "ConfigMagics", "connect_info": "KernelMagics", "cp": "Other", "debug": "ExecutionMagics", "dhist": "OSMagics", "dirs": "OSMagics", "doctest_mode": "BasicMagics", "ed": "Other", "edit": "KernelMagics", "env": "OSMagics", "gui": "BasicMagics", "hist": "Other", "history": "HistoryMagics", "install_default_config": "DeprecatedMagics", "install_ext": "ExtensionMagics", "install_profiles": "DeprecatedMagics", "killbgscripts": "ScriptMagics", "ldir": "Other", "less": "KernelMagics", "lf": "Other", "lk": "Other", "ll": "Other", "load": "CodeMagics", "load_ext": "ExtensionMagics", "loadpy": "CodeMagics", "logoff": "LoggingMagics", "logon": "LoggingMagics", "logstart": "LoggingMagics", "logstate": "LoggingMagics", "logstop": "LoggingMagics", "ls": "Other", "lsmagic": "BasicMagics", "lx": "Other", "macro": "ExecutionMagics", "magic": "BasicMagics", "man": "KernelMagics", "matplotlib": "PylabMagics", "mkdir": "Other", "more": "KernelMagics", "mv": "Other", "notebook": "BasicMagics", "page": "BasicMagics", "pastebin": "CodeMagics", "pdb": "ExecutionMagics", "pdef": "NamespaceMagics", "pdoc": "NamespaceMagics", "pfile": "NamespaceMagics", "pinfo": "NamespaceMagics", "pinfo2": "NamespaceMagics", "popd": "OSMagics", "pprint": "BasicMagics", "precision": "BasicMagics", "profile": "BasicMagics", "prun": "ExecutionMagics", "psearch": "NamespaceMagics", "psource": "NamespaceMagics", "pushd": "OSMagics", "pwd": "OSMagics", "pycat": "OSMagics", "pylab": "PylabMagics", "qtconsole": "KernelMagics", "quickref": "BasicMagics", "recall": "HistoryMagics", "rehashx": "OSMagics", "reload_ext": "ExtensionMagics", "rep": "Other", "rerun": "HistoryMagics", "reset": "NamespaceMagics", "reset_selective": "NamespaceMagics", "rm": "Other", "rmdir": "Other", "run": "ExecutionMagics", "save": "CodeMagics", "sc": "OSMagics", "set_env": "OSMagics", "store": "StoreMagics", "sx": "OSMagics", "system": "OSMagics", "tb": "ExecutionMagics", "time": "ExecutionMagics", "timeit": "ExecutionMagics", "unalias": "OSMagics", "unload_ext": "ExtensionMagics", "who": "NamespaceMagics", "who_ls": "NamespaceMagics", "whos": "NamespaceMagics", "xdel": "NamespaceMagics", "xmode": "BasicMagics" } }, "text/plain": [ "Available line magics:\n", "%alias %alias_magic %autocall %automagic %autosave %bookmark %cat %cd %clear %colors %config %connect_info %cp %debug %dhist %dirs %doctest_mode %ed %edit %env %gui %hist %history %install_default_config %install_ext %install_profiles %killbgscripts %ldir %less %lf %lk %ll %load %load_ext %loadpy %logoff %logon %logstart %logstate %logstop %ls %lsmagic %lx %macro %magic %man %matplotlib %mkdir %more %mv %notebook %page %pastebin %pdb %pdef %pdoc %pfile %pinfo %pinfo2 %popd %pprint %precision %profile %prun %psearch %psource %pushd %pwd %pycat %pylab %qtconsole %quickref %recall %rehashx %reload_ext %rep %rerun %reset %reset_selective %rm %rmdir %run %save %sc %set_env %store %sx %system %tb %time %timeit %unalias %unload_ext %who %who_ls %whos %xdel %xmode\n", "\n", "Available cell magics:\n", "%%! %%HTML %%SVG %%bash %%capture %%debug %%file %%html %%javascript %%latex %%perl %%prun %%pypy %%python %%python2 %%python3 %%ruby %%script %%sh %%svg %%sx %%system %%time %%timeit %%writefile\n", "\n", "Automagic is ON, % prefix IS NOT needed for line magics." ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "%lsmagic" ] }, { "cell_type": "code", "execution_count": 31, "metadata": { "ExecuteTime": { "end_time": "2016-10-24T23:04:01.123941", "start_time": "2016-10-24T23:04:01.104835" }, "collapsed": false, "slideshow": { "slide_type": "slide" } }, "outputs": [ { "data": { "application/json": { "Software versions": [ { "module": "Python", "version": "2.7.12 64bit [GCC 4.2.1 (Based on Apple Inc. build 5658) (LLVM build 2336.11.00)]" }, { "module": "IPython", "version": "4.1.2" }, { "module": "OS", "version": "Darwin 14.0.0 x86_64 i386 64bit" }, { "module": "numpy", "version": "1.11.0" }, { "module": "matplotlib", "version": "1.5.1" }, { "module": "pandas", "version": "0.18.0" }, { "module": "scipy", "version": "0.17.0" }, { "module": "statsmodels", "version": "0.6.1" } ] }, "text/html": [ "
SoftwareVersion
Python2.7.12 64bit [GCC 4.2.1 (Based on Apple Inc. build 5658) (LLVM build 2336.11.00)]
IPython4.1.2
OSDarwin 14.0.0 x86_64 i386 64bit
numpy1.11.0
matplotlib1.5.1
pandas0.18.0
scipy0.17.0
statsmodels0.6.1
Mon Oct 24 23:04:01 2016 CST
" ], "text/latex": [ "\\begin{tabular}{|l|l|}\\hline\n", "{\\bf Software} & {\\bf Version} \\\\ \\hline\\hline\n", "Python & 2.7.12 64bit [GCC 4.2.1 (Based on Apple Inc. build 5658) (LLVM build 2336.11.00)] \\\\ \\hline\n", "IPython & 4.1.2 \\\\ \\hline\n", "OS & Darwin 14.0.0 x86\\_64 i386 64bit \\\\ \\hline\n", "numpy & 1.11.0 \\\\ \\hline\n", "matplotlib & 1.5.1 \\\\ \\hline\n", "pandas & 0.18.0 \\\\ \\hline\n", "scipy & 0.17.0 \\\\ \\hline\n", "statsmodels & 0.6.1 \\\\ \\hline\n", "\\hline \\multicolumn{2}{|l|}{Mon Oct 24 23:04:01 2016 CST} \\\\ \\hline\n", "\\end{tabular}\n" ], "text/plain": [ "Software versions\n", "Python 2.7.12 64bit [GCC 4.2.1 (Based on Apple Inc. build 5658) (LLVM build 2336.11.00)]\n", "IPython 4.1.2\n", "OS Darwin 14.0.0 x86_64 i386 64bit\n", "numpy 1.11.0\n", "matplotlib 1.5.1\n", "pandas 0.18.0\n", "scipy 0.17.0\n", "statsmodels 0.6.1\n", "Mon Oct 24 23:04:01 2016 CST" ] }, "execution_count": 31, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# install version_information in the terminal first.\n", "# pip install version_information\n", "%reload_ext version_information \n", "%version_information numpy, matplotlib, pandas, scipy, statsmodels" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [] } ], "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": "2.7.12" }, "latex_envs": { "bibliofile": "biblio.bib", "cite_by": "apalike", "current_citInitial": 1, "eqLabelWithNumbers": true, "eqNumInitial": 0 }, "toc": { "toc_cell": false, "toc_number_sections": false, "toc_section_display": "none", "toc_threshold": 6, "toc_window_display": true } }, "nbformat": 4, "nbformat_minor": 0 }