{
 "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\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    },
    "toc": true
   },
   "source": [
    "<h1>Table of Contents<span class=\"tocSkip\"></span></h1>\n",
    "<div class=\"toc\"><ul class=\"toc-item\"><li><span><a href=\"#The-Jupyter-Notebook\" data-toc-modified-id=\"The-Jupyter-Notebook-1\">The Jupyter Notebook</a></span></li><li><span><a href=\"#搜狗输入法表情和符号\" data-toc-modified-id=\"搜狗输入法表情和符号-2\">搜狗输入法表情和符号</a></span></li><li><span><a href=\"#一级标题\" data-toc-modified-id=\"一级标题-3\">一级标题</a></span><ul class=\"toc-item\"><li><span><a href=\"#二级标题\" data-toc-modified-id=\"二级标题-3.1\">二级标题</a></span></li></ul></li><li><span><a href=\"#运行C代码\" data-toc-modified-id=\"运行C代码-4\">运行C代码</a></span></li><li><span><a href=\"#Jupyter-魔术命令\" data-toc-modified-id=\"Jupyter-魔术命令-5\">Jupyter 魔术命令</a></span></li><li><span><a href=\"#END\" data-toc-modified-id=\"END-6\">END</a></span></li></ul></div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-06-07T06:20:48.965852Z",
     "start_time": "2019-06-07T06:20:48.961831Z"
    },
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "hello world! \n",
      " I am Cheng-Jun Wang.\n"
     ]
    }
   ],
   "source": [
    "# my first python script\n",
    "print(\"hello world! \\n I am Cheng-Jun Wang.\")"
   ]
  },
  {
   "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.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-04-19T10:28:58.352412Z",
     "start_time": "2018-04-19T10:28:58.348441Z"
    },
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "hello world\n"
     ]
    }
   ],
   "source": [
    "print('hello world')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-04-19T10:28:58.839512Z",
     "start_time": "2018-04-19T10:28:58.828146Z"
    },
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2"
      ]
     },
     "execution_count": 8,
     "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": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# 搜狗输入法表情和符号\n",
    "\n",
    "- ∫ ∑ ※ ➕➖✖️➗ ❎ √ ×\n",
    "- 😪😠😡😎☺️😁📚🌲\n",
    "- 👌👍👎👂👃👀✋❌💰🌂\n",
    "- 0️⃣1️⃣2️⃣3️⃣4️⃣5️⃣6️⃣7️⃣8️⃣9️⃣②🔟 \n",
    "- 🐶🐱🐔🐷🐖🐴🐎🐂🐑🐯🐧🐺🐒🐵🐻🐦🐲\n",
    "- 💻 🌈🌎☁️❄️🏃♀👩👱✨\n",
    "- 🆚🔥🌹✈️🌉🎄\n",
    "\n",
    "(✿◡‿◡)害羞 ⁄(⁄ ⁄•⁄ω⁄•⁄ ⁄)⁄ d=====(￣▽￣*)b厉害 \n",
    "\n",
    "我是我，不一样花火。～(￣▽￣～)(～￣▽￣)～ 矜持 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-06-07T06:24:15.707902Z",
     "start_time": "2019-06-07T06:24:14.609041Z"
    },
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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n/Yn69epHXZZUgsJCRNJi0dpF9Jnch/XfrCe/dz6Xn3R51CVJFWjOQkRq3YRlE+gwpgPuzuyrZiso6iCFhYjUmpKdJdz8xs1c+uKlnPq9UynILaD9Ee2jLkv2gIahRKRWbNyykYHTBjJzxUxuPPVG/tjjj5qfqMMUFiJS4wrXFNJnch82Fm1k3IXjuLTtpVGXJNWkYSgRqVHjl46n47MdAfjgyg8UFBki0rAwszFmtsHMPkxY9kcz+8TMlpnZi2Z2UJQ1ikjlFJcWc9MbN3HZS5dxWovTKMwt1PxEBom6Z5EP9Cy37C3gBHdvA/wDuCPdRYlI1WzYsoGzJpzFw/Mf5qZTb+LNS96kacOmUZclNSjSOQt3n2VmrcotezPhx3lA/3TWJCJVo/mJ7BB1zyKVq4DXK1ppZrlmVmBmBRs36pMrRdJt3NJxdBjTATNj9lWzFRQZLLZhYWZ3ASXAxIrauHueu+e4e07TpuryiqRLcWkxN75+I5e/dDmnH3k6BUMLaHd4u6jLkloUy1NnzewKoBdwprt7xOWISIINWzYwcOpA3lv5HjefdjP/1eO/2HuvWB5KpAbF7l/YzHoCI4Au7l4UdT0i8h8FawroO7kvG4s2Mr7PeC5pc0nUJUmaRH3q7CRgLtDazFaZ2dXAo8ABwFtmtsTMnoyyRhEJjFs6jo5jOu6an1BQZJeoz4YanGTxM2kvREQqVFxazC/f/CWPLHiEbq26Mbn/ZJ0Wm4ViNwwlIvGxYcsGBkwdwKyVszQ/keX0ry4iSRWsKaDP5D58XvQ5E/pM4OI2F0ddkkQotqfOikh0xi4ZS8cxHaln9Zhz1RwFhSgsROQ/ikuLueH1G7ji5Svo0LIDBbkFnHz4yVGXJTGgYSgRAWD9N+sZOG0gs1bO4hen/YI/9PiD5idkF/1PEBEWrl5I3yl9+aLoCyb2nciQE4dEXZLEjIahRLJc/pJ8Oj3biXpWj9lXzVZQSFIKC5EsVVxazPUzrufKl6+kY8uOmp+Q3dIwlEgWWv/NegZMHcD7n77PL0//Jb/v/nvNT8hu6X+HSJZZsHoBfSf35cutX2p+QipNw1AiWeTZxc/S+dnO7L3X3sy5eo6CQipNYSGSBYpLixk+YzhXvXLVrvmJk5qfFHVZUodoGEokwyXOT9xy+i38rvvvND8hVab/MSIZLHF+4rm+zzH4xGQf9CySmoahRDLUmMVj6PRsJ+rXq8+cq+coKKRa1LMQyTA7Sndw8xs383jB43T/YXee7/c8hzY4NOqypI5TWIhkkHXfrGPA1AF88OkH3PrTW3ngzAc0PyE1Qv+LRDLE/FXz6TelH19u/ZJJ/SYx6IRBUZckGURzFiIZYMziMXTO78w+9fZh7tVzFRRS49SzEKnDdpTu4KY3buKJgifo8cMeTOo3SfMTUisUFiJ11Lpv1tF/Sn9mfzZb8xNS6yL9n2VmY4BewAZ3PyFcdggwGWgFrAAGuvu/o6pRJI7mr5pP3yl9+WrbVzzf73kuOuGiqEuSDBf1nEU+0LPcstuB/3H3o4H/CX8WkdAzi56hc35n9q23L3OumqOgkLSINCzcfRbwZbnFvYGx4eOxwIVpLUokpnaU7uDn03/ONa9eQ9dWXSnILaBt87ZRlyVZIo4DnM3cfW34eB3QrKKGZpYL5AK0bNkyDaWJRCNxfmLET0fwwJkPUG+velGXJVkkjmGxi7u7mflu1ucBeQA5OTkVthOpy+atmke/Kf00PyGRinrOIpn1ZnY4QHi/IeJ6RCLz9KKn6ZLfhf323o+5V89VUEhk4hgWrwCXh48vB16OsBaRSOwo3cHPXvsZQ18dStdWXVk4dCFtmrWJuizJYinDwsxmmtmPa2PjZjYJmAu0NrNVZnY18Hugh5n9L9A9/Fkka6zdvJZuY7vxZOGT3NbhNmYMmcEh+x8SdVmS5SozZ3E6sNjMHgVGuvvmmtq4u1f0mcln1tQ2ROqSuZ/Npd+UfmzavonJ/Scz8McDoy5JBKjcMFQbYCZwE/APM7u0VisSyVJPFT5Fl/wu7F9/f+ZdPU9BIbGSMizc/e/ufhZwEVAC5JvZ+2amAVSRGrCjdAfXvXYdua/lcsYPzmDh0IWc2OzEqMsS+ZZKT3C7+1SgNfAgcApQaGaPmNmBtVWcSKYrm58YXTia2zvczvQh0zU/IbFUpbOh3L3I3W8D2gLvAcMIhqaurI3iRDLZ3M/m0j6vPUvXLWVK/yn8rvvvdKGdxNYenTrr7p+4e3fgYmB/4Gkzm2tm7Wq0OpEMlVeYR5f8LjSo34B518xjwI8HRF2SyG5V6QpuM2tGcHbUqcBpQHugUbj6VGC+mT0O3Obu22qyUJFMsL1kOze8fgN5i/I4+0dnM6nfJA7e/+CoyxJJKWVYmNnNBMFwKnBk2WLAgY+BD4DZwL+AEcD1QFczO9vd19VG0SJ10ZrNa+g/pT9zV83ljo538Otuv9awk9QZlelZ/Cm83wq8TxAMs4E57v5VubYfmNkQYAzwZ6Ci6yhEMlrzB5uzfsv6pOumDphK/+P7p7kikeqpTFj8kiAcFrl7SarG7v6cmXUD+la3OJG6qqKgABQUUielDAt3//MevO7/AQftwfNERCSGausjyicCX9TSa4uISJrVSli4+2fAU7Xx2iJxN+ezOVGXIFLj4vgR5SJ11uiC0XTN7xp1GSI1TmEhUgO2l2wn99Vcrpt+Hd1/2J3DGhyWtF2zhhV+S7BIrMX6a1VF6oLVX6+m35R+zF89n7s63cX9Xe/X9ROScRQWItUw+9PZ9J/an83bN/OXgX+h73E6Y1wyk4ahRPaAu/NkwZN0G9uNRvs0Yv418xUUktHUsxCpou0l2xk+YzhPL36ac48+l4l9J3LQfrqsSDKbwkKkChLnJ+7udDf3db1P8xOSFRQWIpX0wacf0H9Kf7YUb9H8hGQdzVmIpODuPLHwCbqN7UbjfRtrfkKyknoWIruxrWQbw2cM55nFz2h+QrJabHsWZnazmX1kZh+a2SQz2y/qmiS7rP56NV3yu/DM4me4p/M9vDr4VQWFZK1Y9izM7HvADcDx7r7VzKYAg4D8SAuTrJE4P/HCwBfoc1yfqEsSiVRsexYEQba/me0NNADWRFyPZAF35/GFj39rfkJBIRLTsHD31cCDwKfAWmCTu79Zvp2Z5ZpZgZkVbNy4Md1lSobZVrKNa165hmEzhtHzqJ4sGLqA45seH3VZIrEQy7Aws4OB3sAPgCOAhmZ2Sfl27p7n7jnuntO0adN0lykZZNXXq+iS34UxS8ZwT+d7eHnQy5qfEEkQyzkLoDvwL3ffCGBmLwA/BSZEWpVkpPdXvk//qf0pKi7ixYte5MJjL4y6JJHYiWXPgmD46TQza2BmBpwJfBxxTZJhyuYnzhh3BgftdxALrlmgoBCpQCx7Fu4+38ymAYuAEmAxkBdtVZJJtpVs4+fTf86zS56l1zG9mNBnAgfud2DUZYnEVizDAsDdRwIjo65DMs+qr1fRd3JfFq5ZyL2d72Vk15HsZXHtZIvEQ2zDQqQ2lM1PbC3eqvkJkSrQ2ynJCu7OYwse2zU/Mf+a+QoKkSpQz0IyXuL8xPnHnM/4PuM1PyFSRQoLyWifbfqMvlP6UrCmgJFdRnJvl3s1PyGyBxQWkrFmrZzFgKkD2Fq8lZcueonex/aOuiSROktvsSTjuDuPLniUM8edycH7HcyCoQsUFCLVpJ6FZJRtJdv42fSfkb8knwtaX8C4C8dpfkKkBigsJGMkzk/c1+U+7ulyj+YnRGqIwkIywnsr3mPA1AFsK9nGy4Ne5oLWF0RdkkhG0dsuqdPcnUfmP0L38d05tMGhLBi6QEEhUgvUs5A6a2vxVq6bfh3jlo7jgtYXML7PeBrv2zjqskQyksJC6qTPNn1Gn8l9KFxbyP1d7+fuzndrfkKkFikspM4pm5/YXrqdVwa9wvmtz4+6JJGMp7diUme4O6Pmj+LMcWcG8xPXLFBQiKSJehZSJyTOT/Ru3ZtxfcZpfkIkjRQWEnufbvqUvpP7an5CJEIKC4m1mStmMnDqQLaXbufVwa/S65heUZckkpX09kxiyd15eN7DdB/Xfdf8hIJCJDrqWUjsbC3eyrWvXcv4ZeO58NgLGXvhWM1PiERMYSGx8ummT+kzuQ+L1y7mV11/xV2d79L8hEgMKCwkNmaumMmAqQPYUbqDVwa/omEnkRiJ7Vs2MzvIzKaZ2Sdm9rGZnR51TVI7EucnmjZoysKhCxUUIjET557Fw8Ab7t7fzPYBGkRdkNS8rcVbyX0tlwnLJtDn2D6MvXAsB+x7QNRliUg5sQwLMzsQ6AxcAeDuO4AdUdYkNW/lVyvpM7kPS9Yt4dfdfs2dne7U/IRITMUyLIAfABuBZ82sLVAI3OjuWxIbmVkukAvQsmXLtBcpe+7df73LwGkDKS4t5tXBr3LeMedFXZKI7EZc38btDbQDnnD3k4EtwO3lG7l7nrvnuHtO06ZN012j7AF356F5D9FjfA8Oa3gYC4cuVFCI1AFxDYtVwCp3nx/+PI0gPKQOKyou4tIXL+Xmv97MBa0vYN7V8zj60KOjLktEKiGWw1Duvs7MPjOz1u7+d+BM4G9R1yV7LnF+4jfdfsMdne7Q/IRIHRLLsAhdD0wMz4T6f8CVEdcje+idf73DwKkDKdlZwmtDXuPco8+NuiQRqaLYhoW7LwFyoq5D9lzZ/MStb91K6yateemilzTsJFJHxTYspG4rKi4i99VcJi6fSN/j+pLfO1/XT4jUYQoLqXErvlpBn8l9WLpuKb8947fc0fEOzCzqskSkGhQWUqPK5idKvZTpQ6ZzztHnRF2SiNQAnY4iNcLd+e+5/02P8T1o3qg5C4cuVFCIZBD1LKTaioqLGPrqUJ5b/hz9juvHs72f1fyESIZRWEi1JM5PPHDGA9ze8XbNT4hkIIWF7LG3/9/bDJo2SPMTIllAYSGV0vzB5qzfsv47y+tZPT4Z/glHHXJUBFWJSLpoglsqJVlQAJR6qYJCJAsoLEREJCWFhVRo8/bNjC4YTfu89lGXIiIR05yFfEfBmgLyCvN4bvlzbCneQptmbaIuSUQiprAQAL7e/jWTlk8ib1Eei9YuokH9Bgz68SBy2+dyyvdOYa9fqRMqks0UFlnM3SlcW8jogtFM+nDSrl7EY+c+xsUnXsyB+x24q22zhs2STnI3a9gsnSWLSEQUFlno6+1f89zy58grzGPxusXf6UUku6hu3S3rIqhUROJCYZEl3H3XXERZL6Jts7Y8fu7jDDlxyLd6ESIi5SksMlxFvYhrc67lJ0f8RB/NISKVorDIQOpFiEhNU1hkkLJexOjC0SxZt4QG9Rsw+ITB5LbPVS9CRKpFYVHHlfUiRhcGZzQVFRft6kVc3OZiGu/bOOoSRSQDKCzqqE3bNgVzEYvyWLJuCQ3rN2TICUPIbZ9LzhE56kWISI1SWNQh7s7CNQt3zUUUFRdxUvOTeOK8Jxhy4hD1IkSk1sQ6LMysHlAArHb3XlHXExX1IkQkarEOC+BG4GMg694yl/UiRheM5vmPnqeouIiTm5/Mk+c9yeATB6sXISJpFduwMLMWwHnAb4FfRFxO2mzatomJyyeSV5jH0vVLd/Uirs25lvaHt1cvQkQiEduwAB4CRgAHVNTAzHKBXICWLVumqaya5+4sWL2AvMI89SJEJJZiGRZm1gvY4O6FZta1onbungfkAeTk5HiayqsxyXoRF5948a65CBGRuIhlWAAdgAvM7FxgP6CxmU1w90sirqvadteLGHLiEA7Yt8KOlIhIZGIZFu5+B3AHQNizuKWuB0VZL2J04WiWrV9Go30accmJl5DbPpf2R+ib6EQk3mIZFpnC3Zm/en7Qi/jwebaWbKXd4e0Y3Ws0g08YrF6EiNQZsQ8Ld58JzIy4jCr5attXTFw2kbxFebt6EZe2uVS9CBGps2IfFnVFsl5E+8PbqxchIhlBYVFNZb2I0YWjWb5huXoRIpKRFBZ7wN2Zt2oeeYvymPzh5F29iLxeeQw6YZB6ESKScRQWVfDVtq+YsGwCeYV5u3oRl7W9jKHthqoXISIZTWGRQrJeRM4ROeT1ymPwiYNptE+jqEsUEal1CosKVNSLyG2fS7tg4BKUAAAGr0lEQVTD20VdnohIWmVtWDR/sDnrt6z/zvJD9j+E8485nykfTdnVi3jq/KcYdMIg9SJEJGtlbVgkCwqAL7d+yQsfv8DlbS9naPuh6kWIiJDFYbE7a365Rr0IEZEEe0VdQBwpKEREvk1hISIiKSksREQkpawNi2YNm1VpuYhINsvaCe51t6yLugQRkToja3sWIiJSeQoLERFJSWEhIiIpKSxERCQlhYWIiKRk7h51DTXCzDYCK/fw6U2Az2uwnJqiuqpGdVWN6qqauNYF1avt++7eNFWjjAmL6jCzAnfPibqO8lRX1aiuqlFdVRPXuiA9tWkYSkREUlJYiIhISgqLQF7UBVRAdVWN6qoa1VU1ca0L0lCb5ixERCQl9SxERCQlhYWIiKSUNWFhZmPMbIOZfVjBejOzUWb2TzNbZmZp+fLtStTV1cw2mdmS8HZvmuo60szeNbO/mdlHZnZjkjZp32eVrCvt+8zM9jOzBWa2NKzr/iRt9jWzyeH+mm9mrWJS1xVmtjFhf11T23UlbLuemS02s9eSrEv7/qpkXZHsLzNbYWbLw20WJFlfu3+P7p4VN6Az0A74sIL15wKvAwacBsyPSV1dgdci2F+HA+3CxwcA/wCOj3qfVbKutO+zcB80Ch/XB+YDp5Vr83PgyfDxIGByTOq6Ang03f/Hwm3/Angu2b9XFPurknVFsr+AFUCT3ayv1b/HrOlZuPss4MvdNOkNjPPAPOAgMzs8BnVFwt3Xuvui8PFm4GPge+WapX2fVbKutAv3wTfhj/XDW/mzR3oDY8PH04AzzcxiUFckzKwFcB7wdAVN0r6/KllXXNXq32PWhEUlfA/4LOHnVcTgIBQ6PRxGeN3MfpzujYfd/5MJ3pUminSf7aYuiGCfhUMXS4ANwFvuXuH+cvcSYBNwaAzqAugXDl1MM7Mja7um0EPACGBnBesj2V+VqAui2V8OvGlmhWaWm2R9rf49KizibxHBZ7e0BR4BXkrnxs2sEfAX4CZ3/zqd296dFHVFss/cvdTdTwJaAKeY2Qnp2G4qlajrVaCVu7cB3uI/7+ZrjZn1Aja4e2Ftb6sqKllX2vdXqKO7twPOAYaZWec0bRdQWCRaDSS+Q2gRLouUu39dNozg7jOA+mbWJB3bNrP6BAfkie7+QpImkeyzVHVFuc/CbX4FvAv0LLdq1/4ys72BA4Evoq7L3b9w9+3hj08D7dNQTgfgAjNbATwPnGFmE8q1iWJ/pawrov2Fu68O7zcALwKnlGtSq3+PCov/eAW4LDyj4DRgk7uvjbooM2teNk5rZqcQ/JvV+gEm3OYzwMfu/t8VNEv7PqtMXVHsMzNramYHhY/3B3oAn5Rr9gpwefi4P/COhzOTUdZVblz7AoJ5oFrl7ne4ewt3b0Uwef2Ou19Srlna91dl6opif5lZQzM7oOwxcBZQ/gzKWv173LumXijuzGwSwVkyTcxsFTCSYLIPd38SmEFwNsE/gSLgypjU1R/4mZmVAFuBQbX9BxPqAFwKLA/HuwHuBFom1BbFPqtMXVHss8OBsWZWjyCcprj7a2b2K6DA3V8hCLnxZvZPgpMaBtVyTZWt6wYzuwAoCeu6Ig11JRWD/VWZuqLYX82AF8P3QHsDz7n7G2Z2HaTn71Ef9yEiIilpGEpERFJSWIiISEoKCxERSUlhISIiKSksREQkJYWFiIikpLAQEZGUFBYiNcTM3jQzN7N+5ZabmeWH634fVX0i1aGL8kRqiJm1JfgQw78DJ7p7abj8TwTfj5Dn7tdGWKLIHlPPQqSGuPtSYDxwHMFHkmBmdxIExRTgZ9FVJ1I96lmI1KDwuw3+AawD/kTwEel/BS5w9x3l2j4GHOHufdJeqEgVKSxEapiZ/Q64PfxxDtDD3YuStDsYKE74JjuR2MqaT50VSaONCY+vThYUAO7+7zTVI1JtmrMQqUFmNgR4kGAYCuDGCtq1CM+OOjZtxYlUg8JCpIaY2blAPsGX0rQhOCvqGjNrnaR5W4LvHPhH2goUqQaFhUgNMLOOwDRgFXC2u28E7iYY6v1DkqecBCx3953pq1JkzyksRKrJzE4CXgM2EUxmrwVw92lAAdDbzDqVe1pbYAkidYTCQqQazOwo4A3ACXoU/1euyR3h/R/LLT8JhYXUITp1ViTNzKwh8DXQwd3nRV2PSGWoZyGSfm3C+2WRViFSBQoLkfRrC/xvRddfiMSRhqFERCQl9SxERCQlhYWIiKSksBARkZQUFiIikpLCQkREUlJYiIhISgoLERFJSWEhIiIp/X9lrNW5ULdgqAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "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, 'g-s')\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](http://www.fdu.edu.cn)是一个*非常棒*的大学！\n",
    "\n",
    "1. point 1\n",
    "1. point 2\n",
    "1. point 3"
   ]
  },
  {
   "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": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-06-07T06:26:11.397052Z",
     "start_time": "2019-06-07T06:26:11.391964Z"
    },
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Overwriting hello.c\n"
     ]
    }
   ],
   "source": [
    "%%file hello.c\n",
    "#include <stdio.h>\n",
    "\n",
    "int main() {\n",
    "    printf(\"Hello, world!\");\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-06-07T06:26:29.912376Z",
     "start_time": "2019-06-07T06:26:29.789505Z"
    },
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "xcrun: error: invalid active developer path (/Library/Developer/CommandLineTools), missing xcrun at: /Library/Developer/CommandLineTools/usr/bin/xcrun\r\n"
     ]
    }
   ],
   "source": [
    "! gcc hello.c -o hello # 编译"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-04-27T05:54:12.626044Z",
     "start_time": "2018-04-27T05:54:12.511042Z"
    },
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello, world!"
     ]
    }
   ],
   "source": [
    "! ./hello # 执行"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Jupyter 魔术命令 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-04-19T10:29:30.618186Z",
     "start_time": "2018-04-19T10:29:30.612065Z"
    },
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "application/json": {
       "cell": {
        "!": "OSMagics",
        "HTML": "Other",
        "SVG": "Other",
        "bash": "Other",
        "capture": "ExecutionMagics",
        "debug": "ExecutionMagics",
        "file": "Other",
        "html": "DisplayMagics",
        "javascript": "DisplayMagics",
        "js": "DisplayMagics",
        "latex": "DisplayMagics",
        "markdown": "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",
        "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",
        "pip": "BasicMagics",
        "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  %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  %%js  %%latex  %%markdown  %%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": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%lsmagic "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    ">  pip install version_information"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-06-07T06:28:42.462467Z",
     "start_time": "2019-06-07T06:28:39.036474Z"
    },
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: version_information in /Users/datalab/Applications/anaconda/lib/python3.5/site-packages (1.0.3)\n",
      "\u001b[33mYou are using pip version 19.0.3, however version 19.1.1 is available.\n",
      "You should consider upgrading via the 'pip install --upgrade pip' command.\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "!pip install version_information"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-06-07T06:29:42.785175Z",
     "start_time": "2019-06-07T06:29:41.429103Z"
    },
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "application/json": {
       "Software versions": [
        {
         "module": "Python",
         "version": "3.5.4 64bit [GCC 4.2.1 Compatible Clang 4.0.1 (tags/RELEASE_401/final)]"
        },
        {
         "module": "IPython",
         "version": "6.2.1"
        },
        {
         "module": "OS",
         "version": "Darwin 18.6.0 x86_64 i386 64bit"
        },
        {
         "module": "numpy",
         "version": "1.16.3"
        },
        {
         "module": "matplotlib",
         "version": "3.0.1"
        },
        {
         "module": "pandas",
         "version": "0.23.4"
        },
        {
         "module": "scipy",
         "version": "1.1.0"
        },
        {
         "module": "statsmodels",
         "version": "0.9.0"
        }
       ]
      },
      "text/html": [
       "<table><tr><th>Software</th><th>Version</th></tr><tr><td>Python</td><td>3.5.4 64bit [GCC 4.2.1 Compatible Clang 4.0.1 (tags/RELEASE_401/final)]</td></tr><tr><td>IPython</td><td>6.2.1</td></tr><tr><td>OS</td><td>Darwin 18.6.0 x86_64 i386 64bit</td></tr><tr><td>numpy</td><td>1.16.3</td></tr><tr><td>matplotlib</td><td>3.0.1</td></tr><tr><td>pandas</td><td>0.23.4</td></tr><tr><td>scipy</td><td>1.1.0</td></tr><tr><td>statsmodels</td><td>0.9.0</td></tr><tr><td colspan='2'>Fri Jun 07 14:29:42 2019 CST</td></tr></table>"
      ],
      "text/latex": [
       "\\begin{tabular}{|l|l|}\\hline\n",
       "{\\bf Software} & {\\bf Version} \\\\ \\hline\\hline\n",
       "Python & 3.5.4 64bit [GCC 4.2.1 Compatible Clang 4.0.1 (tags/RELEASE\\_401/final)] \\\\ \\hline\n",
       "IPython & 6.2.1 \\\\ \\hline\n",
       "OS & Darwin 18.6.0 x86\\_64 i386 64bit \\\\ \\hline\n",
       "numpy & 1.16.3 \\\\ \\hline\n",
       "matplotlib & 3.0.1 \\\\ \\hline\n",
       "pandas & 0.23.4 \\\\ \\hline\n",
       "scipy & 1.1.0 \\\\ \\hline\n",
       "statsmodels & 0.9.0 \\\\ \\hline\n",
       "\\hline \\multicolumn{2}{|l|}{Fri Jun 07 14:29:42 2019 CST} \\\\ \\hline\n",
       "\\end{tabular}\n"
      ],
      "text/plain": [
       "Software versions\n",
       "Python 3.5.4 64bit [GCC 4.2.1 Compatible Clang 4.0.1 (tags/RELEASE_401/final)]\n",
       "IPython 6.2.1\n",
       "OS Darwin 18.6.0 x86_64 i386 64bit\n",
       "numpy 1.16.3\n",
       "matplotlib 3.0.1\n",
       "pandas 0.23.4\n",
       "scipy 1.1.0\n",
       "statsmodels 0.9.0\n",
       "Fri Jun 07 14:29:42 2019 CST"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# install version_information in the terminal first.\n",
    "%reload_ext version_information\n",
    "%version_information numpy, matplotlib, pandas, scipy, statsmodels"
   ]
  },
  {
   "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": "markdown",
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "This is the end."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": []
  }
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