code/01.slides.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_color": "blue",
     "slide_type": "slide"
    }
   },
   "source": [
    "\n",
    "\n",
    "# 使用Jupyter制作Slides的介绍\n",
    "\n",
    "王成军 \n",
    "\n",
    "wangchengjun@nju.edu.cn\n",
    "\n",
    "计算传播网 http://computational-communication.com\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# RISE: \"Live\" Reveal.js Jupyter/IPython Slideshow Extension\n",
    "https://github.com/damianavila/RISE"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Installation\n",
    "- Downnload from https://github.com/damianavila/RISE\n",
    "- open your teminal, cd to the RISE folder, e.g., \n",
    "\n",
    "    >## cd  /github/RISE/\n",
    "\n",
    "- To install this nbextension, simply run \n",
    "\n",
    "    >## python setup.py install\n",
    "\n",
    "from the RISE repository."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "In the notebook toolbar, a new button (\"Enter/Exit Live Reveal Slideshow\") will be available.\n",
    "\n",
    "The notebook toolbar also contains a \"Cell Toolbar\" dropdown menu that gives you access to metadata for each cell. If you select the Slideshow preset, you will see in the right corner of each cell a little box where you can select the cell type (similar as for the static reveal slides with nbconvert)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# 将ipynb文件转为slides.html\n",
    "- download the reveal.js from Github https://github.com/hakimel/reveal.js\n",
    "- generate html using the following code\n",
    "- put the generated html into the reveal.js folder\n",
    "- open the html using chrome\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "    chengjuns-MacBook-Pro:~ chengjun$ cd github/cjc/code/\n",
    "\n",
    "    chengjuns-MacBook-Pro:code chengjun$ jupyter nbconvert slides.ipynb --to slides --post serve"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "# 批量生成slides.html¶\n",
    "    chengjuns-MacBook-Pro:~ chengjun$ cd github/cjc/code/\n",
    "    \n",
    "    chengjuns-MacBook-Pro:code chengjun$ jupyter nbconvert *.ipynb --to slides"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# 数学公式\n",
    "$E = MC^2$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/latex": [
       "\\begin{align}\n",
       "a = \\frac{1}{2}\\\\\n",
       "\\end{align}"
      ],
      "text/plain": [
       "<IPython.core.display.Latex object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%latex\n",
    "\\begin{align}\n",
    "a = \\frac{1}{2}\\\\\n",
    "\\end{align}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# 程序代码"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "hello world\n"
     ]
    }
   ],
   "source": [
    "print 'hello world'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n",
      "1\n",
      "2\n",
      "3\n",
      "4\n",
      "5\n",
      "6\n",
      "7\n",
      "8\n",
      "9\n"
     ]
    }
   ],
   "source": [
    "for i in range(10):\n",
    "    print i"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [],
   "source": [
    "# get a list of all the available magics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "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": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "% lsmagic"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Apple_PubSub_Socket_Render': '/private/tmp/com.apple.launchd.Cti3IOL0XG/Render',\n",
       " 'CLICOLOR': '1',\n",
       " 'DISPLAY': '/private/tmp/com.apple.launchd.GQAU1RS6KM/org.macosforge.xquartz:0',\n",
       " 'GIT_PAGER': 'cat',\n",
       " 'HOME': '/Users/chengjun',\n",
       " 'JPY_PARENT_PID': '84860',\n",
       " 'LANG': 'en_US.UTF-8',\n",
       " 'LC_ALL': 'en_US.UTF-8',\n",
       " 'LC_CTYPE': 'UTF-8',\n",
       " 'LOGNAME': 'chengjun',\n",
       " 'PAGER': 'cat',\n",
       " 'PATH': '/Users/chengjun/anaconda/bin:/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin:/opt/X11/bin:/usr/local/git/bin:/usr/texbin',\n",
       " 'PWD': '/Users/chengjun',\n",
       " 'SECURITYSESSIONID': '186a5',\n",
       " 'SHELL': '/bin/bash',\n",
       " 'SHLVL': '2',\n",
       " 'SSH_AUTH_SOCK': '/private/tmp/com.apple.launchd.VNCcz4m0az/Listeners',\n",
       " 'TERM': 'xterm-color',\n",
       " 'TERM_PROGRAM': 'Apple_Terminal',\n",
       " 'TERM_PROGRAM_VERSION': '343',\n",
       " 'TERM_SESSION_ID': 'FDFD985A-CDD6-415E-A3B0-E8A2A05CC9B4',\n",
       " 'TMPDIR': '/var/folders/l6/ntr5b4610hx38gy0_2xp7ngh0000gn/T/',\n",
       " 'USER': 'chengjun',\n",
       " 'XPC_FLAGS': '0x0',\n",
       " 'XPC_SERVICE_NAME': '0',\n",
       " '_': '/Users/chengjun/anaconda/python.app/Contents/MacOS/python',\n",
       " '__CF_USER_TEXT_ENCODING': '0x1F5:0x0:0x0'}"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "% env\n",
    "# to list your environment variables."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " "
     ]
    }
   ],
   "source": [
    "%prun"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 11 µs, sys: 9 µs, total: 20 µs\n",
      "Wall time: 21 µs\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%time range(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The slowest run took 295.47 times longer than the fastest. This could mean that an intermediate result is being cached.\n",
      "1000000 loops, best of 3: 748 ns per loop\n"
     ]
    }
   ],
   "source": [
    "%timeit range(100)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "!: to run a shell command. E.g., ! pip freeze | grep pandas to see what version of pandas is installed.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "! cd /Users/chengjun/github/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAWoAAAEACAYAAACatzzfAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAF15JREFUeJzt3X+M3HWdx/Hne1usdDmIh8a78mPcLvIjeh4Q0ooFHWjX\n4xAwmlwUtzELPe4PvUKVGlqSzcxk4iUmNWra2gv+2BUXehdBTiyeATVzWCIgUgT5ocfsusVdC4L8\nuC6hxX7f98d8d5guuzvf2Z2Z73dmXo9ks7O735l9Zdu++9rPfL/zMXdHRESSqyvuACIiMj8NahGR\nhNOgFhFJOA1qEZGE06AWEUk4DWoRkYSLNKjN7Dozeyx8u7bRoURE5A1VB7WZvQfYAJwHnA1cZmYr\nGx1MRERKojTqs4AH3P2Qux8B7gU+3thYIiIyLcqg/g1woZm9zcyWA5cCpzQ2loiITFta7QB3f8rM\nvgTcAxwE9gFHGh1MRERKrNbX+jCzLwLPuPu/z/i8XjRERKRG7m7Vjol61sc7wvenAh8Dbp3jGybq\nLZPJxJ5BmdonU1JzKVOLZDpyBN+xg+yyZRwEamm2Uc+jvt3MfgP8APiMu79Sw/cQEelso6Owdi3c\ncgsDe/aQ6e1lqoa7RxrU7v5Bd3+vu5/j7oWFJRUR6TBBADt3wurVcNll8POfk1q3jo333MO2/v7I\nD9PWVyam0+m4I7yJMkWTxEyQzFzKFE3TM1W0aPbuheuvhyVLAEj19JAZGYn8UDU/mTjnA5l5vR5L\nRKRlBQHs2gXZLGzZAps2lQf0TGaGR3gyserpeSIiEtHoKGzYAIcOlVr0GWfU5WHbeulDRKQpZlmL\nrteQBjVqEZHFaVCLrqRGLSKyEA1u0ZXUqEVEatWEFl1JjVpEJKomtuhKatQiIlE0uUVXUqMWEZlP\nTC26khq1iMhcYmzRldSoRURmSkCLrqRGLSJSKSEtupIatYgIJK5FV1KjFhFJYIuupEYtIp0rwS26\nUqRGbWZbgfWUNrV9DLjK3Q83MpiISEMlvEVXqtqozSwFXAOc4+7vozTcP9noYCIi9TA+NkZu/Xoy\nF11Ebv16xovFlmjRlaI06leAw0C3mQXAcmCyoalEROpgfGyM7X195IpFuoEpIHP77Ww86yxSCW/R\nlao2and/EfgysB+YAF5y9580OpiIyGINDw6WhzRAN5B77TWGzzyzZYY0RGjUZrYS+ByQAl4GbjOz\nT7n7rTOPzWaz5dvpdDqR+6aJSOcIJibKQ3paNxAcOBBHHAqFAoVCoeb7RVn6OA+4z93/DGBm3wc+\nAMw7qEVEYhUEdB08yBQcNayngK4VK2KJNLPA5nK5SPeLcnreb4H3m9lbzcyAtcCTC8goItIc4Q7g\nA0eOkDnlFKbCT08Bmd5eBvL5ONPVLNIu5Gb2BWCA0ul5+4B/dvfXZxyjXchFJF6z7AA+vn8/w4OD\nBJOTdK1YwUA+T6qnJ+6kQPRdyCMN6ojfUINaROJTeV700FBLPFkYdVDrykQRaW0tcnXhYui1PkSk\ndbXQ1YWLoUYtIq2nA1p0JTVqEWktHdKiK6lRi0hr6LAWXUmNWkSSrwNbdCU1ahFJrg5u0ZXUqEUk\nmTq8RVdSoxaRZFGLfhM1ahFJDrXoWalRi0j81KLnpUYtIvFSi65KjVpE4qEWHZkatYg0n1p0TdSo\nRaR51KIXRI1aRJpDLXrBqjZqMzvdzPaZ2cPh+5fN7NpmhBORNqAWvWhVG7W7/w44B8DMuoA/AHc0\nOJeItKDxsbHStlcTE3SddBID11xDKptVi16kmrbiMrMPA4PufuEsX9NWXCIdbHxsjO19feSKRboJ\nN5Lt6mLjDTeQyudhyZK4IyZOo7bi+gSwe2GRRKSdDQ8Oloc0QDeQCwKG9+/XkF6kyE8mmtkxwBXA\nlrmOyWaz5dvpdJp0Or2IaCLSSoKJifKQntYNBJOTccRJpEKhQKFQqPl+kZc+zOwK4DPufskcX9fS\nh0inGh0ld/75bH7uuaOG9RSwrb+fzMhIXMkSrRFLH1eiZQ8RqVRxRsfAhg1kVq5kKvzSFJDp7WUg\nn48zYVuI1KjNbDkwDqx09/+b4xg1apFOUnle9NAQnHHGG2d9TE7StWIFA/k8qZ6euJMmVtRGXdNZ\nH1W+oQa1SCcIAti1C7JZ2LIFNm3Sk4ULFHVQ68pEEYludBSuvhoOH9Z50U2k1/oQkeqCAHbsgFWr\n4PLLdXVhk6lRi8j8Klv0ffdpQMdAjVpEZqcWnRhq1CLyZmrRiaJGLSJvUItOJDVqESlRi04sNWqR\nTqcWnXhq1CKdTC26JahRi3QiteiWokYt0mnUoluOGrVIp1CLbllq1CKdQC26palRi7Qztei2oEYt\n0q6KxdLrRatFtzw1apF2EwSwfTusXq0W3SYiNWozOwH4JvBeIACudvcHGhlMRBZALbotRV36+Brw\nI3f/JzNbCixvYCYRiaC87dXERGnbq9NOI7VzJ2zdql1X2kzVrbjM7Hhgn7v3VjlOW3GJNMn42Bjb\n+/rIFYt0E24ku2wZG/fsIbVuXdzxJKJ67kLeAzxvZkNm9rCZ3WRmxy4+oogs1PDgYHlIA3QDuUOH\nGB4ejjGVNEqUpY+lwLnAZ939ITP7KrAFyMw8MJvNlm+n02nS6XR9UorIUYKnny4P6WndQDA5GUcc\niahQKFAoFGq+X5Slj3cCv3D3leHHFwA3uPvlM47T0odIowUB7NxJbvNmNh8+fNSwngK29feTGRmJ\nK53UqG5LH+7+LPCMmZ0efmot8MQi84lIrYpFuPhi2L2bgbvuItPby1T4pSkg09vLQD4fZ0JpkKqN\nGsDM/p7S6XnHAKPAVe7+8oxj1KhFGiFs0eRyR53RUT7rY3KydNZHPk+qpyfutFKDqI060qCO+A01\nqEXqrfK86KEhnRfdZup51oeINJuuLpQKeq0PkaTR1YUygxq1SFKoRcsc1KhFkkAtWuahRi0SJ7Vo\niUCNWiQuatESkRq1SLOpRUuN1KhFmkktWhZAjVqkGdSiZRHUqEUaTS1aFkmNWqRR1KKlTtSoRRpB\nLVrqSI1apJ7UoqUB1KhF6kUtWhpEjVpksdSipcEiNWoz+z3wMhAAr7v7qkaGEmkZatHSBFEbdQCk\n3f0cDWkR1KKlqaKuURtaJpEOVt72amKCruOPZ+DAAVJLlqhFS1NE3TNxFHgJOALc5O7fmOUYbcUl\nbWl8bIztfX3kikW6CTeSPfFENt5/P6nTTos7nrSwem/FtcbdzwUuBT5rZhcsKp1ICxkeHCwPaYBu\nIPfCCwxnszGmkk4SaenD3f8Yvv+Tmd0BrAL2zjwuW/EXN51Ok06n6xJSJDZBQPDgg+UhPa0bCCYn\n40gkLaxQKFAoFGq+X9WlDzNbDnS5+0Ez6wbuBnLufveM47T0Ie1ldBSuvprc44+z+fnnjxrWU8C2\n/n4yIyNxpZM2UM+lj3cCe81sH3A/8MOZQ1qkrQQB7NgBq1bB5Zcz8ItfkOntZSr88hSQ6e1lIJ+P\nM6V0kEhPJkZ6IDVqaQdhi+bwYRgaKp/RUT7rY3KSrhUrGMjnSfX0xBxWWl3URq1BLQKlFv31r0M2\nC1u3wqZNsGRJ3KmkzUUd1HqtD5HKFq3zoiWBdBGLdK4Za9G6ulCSSo1aOpNatLQQNWrpLGrR0oLU\nqKVzqEVLi1KjlvanFi0tTo1a2ptatLQBNWppT2rR0kbUqKX9qEVLm1GjlvahFi1tSo1a2oNatLQx\nNWppbWrR0gHUqKV1qUVLh1CjltajFi0dRo1aWotatHSgyI3azLrM7GEzu7ORgURmpRYtHayWRn0d\n8ARwfIOyiMxOLVo6XKRBbWYnA5cCXwQ+39BE0tHKW15NTJS2vHr3u0nt2KFdV6SjRW3UXwG+AJzQ\nwCzS4cbHxtje10euWKSbcBPZZcvYuGcPqXXr4o4nEpuqa9Rm9hHgWXd/BLDwTaTuhgcHy0MaoBvI\nHTrE8PBwjKlE4helUa8BrjCzS4Fjgb8ys5vd/dMzD8xms+Xb6XSadDpdp5jSCYKnny4P6WndQDA5\nGUcckborFAoUCoWa71fTLuRm9iHgene/YpavaRdyWZhwB/Dc9dez+fDho4b1FLCtv5/MyEhc6UQa\nJuou5LrgReI1OgoXXwy33srAXXeR6e1lKvzSFJDp7WUgn48zoUjsamrU8z6QGrXUImzRZLNHndFR\nPutjcrJ01kc+T6qnJ+60Ig0RtVFrUEvzVZ4XPTSk86KlY2npQ5JHVxeKLIhe60OaQ1cXiiyYGrU0\nllq0yKKpUUvjqEWL1IUatdSfWrRIXalRS32pRYvUnRq11IdatEjDqFHL4qlFizSUGrUsnFq0SFOo\nUcvCqEWLNI0atdRGLVqk6dSoJTq1aJFYqFFLdWrRIrFSo5b5qUWLxE6NWmanFi2SGFUbtZktA+4F\n3hK+/cDdb2x0MImRWrRIolRt1O5+CLjI3c8B3gdcbGZrGp5MGm58bIzc+vVkLrqI3Pr1jBeLatEi\nCRRpjdrdXw1vLqM03F9sWCJpivGxMbb39ZErFukm3J/w9tvZeNZZpNSiRRIl0hq1mXWZ2T7gAFBw\n9ycaG0sabXhwsDykAbqB3GuvMXzmmRrSIgkTtVEHwDlmdjxwt5l9yN3/Z+Zx2Wy2fDudTpNOp+sU\nU+otmJgoD+lp3UBw4EAccUQ6QqFQoFAo1Hy/mje3NbNB4FV3//KMz2tz21YRBORWr2bzQw8dNayn\ngG39/WRGRuJKJtJR6ra5rZm93cxOCG8fC/QBjyw+osRidBTWrmXgyBEyp5zCVPjpKSDT28tAPh9n\nOhGZRdVGbWZ/B3wHMEqD/bvuvm2W49SokywIYNcuyGZhyxbYtInx/fsZHhwkmJyka8UKBvJ5Uj09\ncScV6RhRG3XNSx/zfEMN6qQaHYUNG+DQIRga0pOFIglRt6UPaWFBADt3wurVcNllOi9apEXptT7a\nVWWL3rtXA1qkhalRtxu1aJG2o0bdTtSiRdqSGnU7UIsWaWtq1K1OLVqk7alRtyq1aJGOoUbditSi\nRTqKGnUrUYsW6Uhq1K1CLVqkY6lRJ51atEjHU6NOMrVoEUGNOpnUokWkghp10qhFi8gMatRJoRYt\nInNQo04CtWgRmUeUrbhONrOfmdnjZvaYmV3bjGAdQS1aRCKI0qj/Anze3R8xs+OAX5nZ3e7+VIOz\ntZXxsbHStlcTE3SddBID11xDKptVixaRqhayC/l/Advd/aczPq+tuOYwPjbG9r4+csUi3YQbyXZ1\nsfGGG0jl87BkSdwRRSQGDdmKy8zeBZwNPLCwWJ1peHCwPKQBuoFcEDC8f7+GtIhUFfnJxHDZ4zbg\nOnc/ONsx2Wy2fDudTpNOpxcZrz0EExPlIT2tGwgmJ+OIIyIxKRQKFAqFmu8XaenDzJYCe4D/dvev\nzXGMlj5mMzpK7vzz2fzcc0cN6ylgW38/mZGRuJKJSMzqvfTxbeCJuYa0zKLijI6BDRvIrFzJVPil\nKSDT28tAPh9nQhFpEVUbtZmtAe4FHgM8fLvR3X884zg16mmV50UPDcEZZ7xx1sfkJF0rVjCQz5Pq\n6Yk7qYjEKGqjrvmsj3m+oQZ1EMCuXZDNwpYtsGmTniwUkTlFHdS6MrFeRkfh6qvh8GGdFy0idaXX\n+lisIIAdO2DVKrj8cl1dKCJ1p0a9GJUt+r77NKBFpCHUqBdCLVpEmkiNulZq0SLSZGrUUalFi0hM\n1KijUIsWkRipUc9HLVpEEkCNei5q0SKSEGrUM6lFi0jCqFFXUosWkQRSowa1aBFJNDVqtWgRSbjO\nbdRq0SLSIjqzUReLpdeLVosWkRbQWY06CGD7dli9Wi1aRFpG1UZtZt8CLgOedff3NT5Sg6hFi0iL\nirIV1wXAQeDm+QZ1knZ4KW97NTFR2vbqtNNI7dwJW7dq1xURSYy67fDi7nvNLFWfWI03PjbG9r4+\ncsUi3YQbyS5bxsY9e0itWxd3PBGRmrXdGvXw4GB5SAN0A7lDhxgeHo4xlYjIwtX1rI9sNlu+nU6n\nSafT9Xz4SIKnny4P6WndQDA52fQsIiKVCoUChUKh5vtF2oU8XPr4YaLXqIMAdu4kt3kzmw8fPmpY\nTwHb+vvJjIzElU5E5E2irlFHXfqw8C2ZikW4+GLYvZuBu+4i09vLVPilKSDT28tAPh9nQhGRBYty\n1setQBo4EXgWyLj70CzHNb9Rhy2aXO6oMzrKZ31MTpbO+sjnSfX0NDebiEgVURt1pKWPiN+wuYO6\n8rzooSGdFy0iLafeSx/JoasLRaTDtNZrfejqQhHpQK3RqNWiRaSDJb9Rq0WLSIdLbqNWixYRAZLa\nqNWiRUTKktWo1aJFRN4kOY1aLVpEZFbxN2q1aBGRecXbqNWiRUSqiqdRq0WLiETW/EatFi0iUpPm\nNWq1aBGRBWlOo1aLFhFZsMY2arVoEZFFi9SozewS4KuUBvu33P1LVe+kFi0iUhdVG7WZdQE7gH8A\n3gNcaWZnznmHBLXohWwi2WjKFE0SM0EycylTNEnMFFWUpY9VwP+6+7i7vw78B/DR2Q7MffSjjJ9/\nPuzeXWrR118PS5bUM29NkvgHo0zRJDETJDOXMkWTxExRRRnUJwHPVHz8h/Bzb7L5zjvZXiwyfvPN\nWuoQEamTuj6Z2A3kXniB4Wy2ng8rItLRouxC/n4g6+6XhB9vAXzmE4pm1uQtyEVEWl9ddiE3syXA\nb4G1wB+BB4Er3f3JeoQUEZH5VT09z92PmNm/Anfzxul5GtIiIk1StVGLiEi8Fv1kopldYmZPmdnv\nzOyGeoRaLDP7lpk9a2aPxp1lmpmdbGY/M7PHzewxM7s2AZmWmdkDZrYvzPVvcWeaZmZdZvawmd0Z\ndxYAM/u9mf06/Fk9GHceADM7wcy+Z2ZPhn9+qxOQ6fTwZ/Rw+P7lhPxd3xr+jB41s1vM7C0JyHRd\nOAuqzwN3X/AbpUH/NJACjgEeAc5czGPW4w24ADgbeDTuLBWZ/gY4O7x9HKV1/yT8rJaH75cA9wNr\n4s4U5vkcMALcGXeWMM8o8La4c8zINAxcFd5eChwfd6YZ+bqASeCUmHOkwj+/t4Qf/yfw6ZgzvQd4\nFFgW/tu7G1g51/GLbdSRL4ZpJnffC7wYd45K7n7A3R8Jbx8EnmSO89Gbyd1fDW8uo/QPK/afm5md\nDFwKfDPuLBWMJOyIFDKz44EL3X0IwN3/4u6vxBxrpnVA0d2fqXpkY70CHAa6zWwpsJzSfyBxOgt4\nwN0PufsR4F7g43MdvNi/eJEvhpE3mNm7KDX+B+JNUl5i2AccAAru/kTcmYCvAF8AkvQEigP3mNkv\nzeyauMMAPcDzZjYULjPcZGbHxh1qhk8Au+MO4e4vAl8G9gMTwEvu/pN4U/Eb4EIze5uZLadUTE6Z\n6+DENIROYWbHAbcB14XNOlbuHrj7OcDJwAfN7ENx5jGzjwDPhr99WPiWBGvc/VxK/6A+a2YXxJxn\nKXAusDPM9SqwJd5IbzCzY4ArgO8lIMtKSktpKWAFcJyZfSrOTO7+FPAl4B7gR8A+4Mhcxy92UE8A\np1Z8fHL4OZlF+GvXbcB33f0HceepFP7afBdwXsxR1gBXmNkopTZ2kZndHHMm3P2P4fs/AXdQWvaL\n0x+AZ9z9ofDj2ygN7qT4R+BX4c8rbucB97n7n8Nlhu8DH4g5E+4+5O7nuXsaeAn43VzHLnZQ/xI4\nzcxS4bOonwQS8Sw9yWpj074NPOHuX4s7CICZvd3MTghvHwv0UXpCODbufqO7n+ruKyn9ffqZu386\nzkxmtjz8TQgz6wY+TOlX19i4+7PAM2Z2eviptUASlq2mXUkClj1CvwXeb2ZvNTOj9LOK/VoQM3tH\n+P5U4GPArXMdu6gdXjyhF8OY2a1AGjjRzPYDmeknXWLMtAboBx4L14QduNHdfxxjrL8FvhP+5e2i\n1PR/GmOepHoncEf4MglLgVvc/e6YMwFcC9wSLjOMAlfFnAco/cdG6YnEf4k7C4C7/zr8rexXlJYX\n9gE3xZsKgNvN7K+B14HPzPdksC54ERFJOD2ZKCKScBrUIiIJp0EtIpJwGtQiIgmnQS0iknAa1CIi\nCadBLSKScBrUIiIJ9/9JrC5JnnoK/QAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1074cbad0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "% matplotlib inline \n",
    "# to show matplotlib plots inline the notebook.\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "plt.plot(range(10), range(10), 'r-o')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# This is the End. \n",
    "\n",
    "\n",
    "\n",
    "## Thanks for your attention. "
   ]
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "celltoolbar": "Slideshow",
  "kernelspec": {
   "display_name": "Python [conda root]",
   "language": "python",
   "name": "conda-root-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.4"
  },
  "latex_envs": {
   "bibliofile": "biblio.bib",
   "cite_by": "apalike",
   "current_citInitial": 1,
   "eqLabelWithNumbers": true,
   "eqNumInitial": 0
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": false,
   "sideBar": false,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {
    "height": "620px",
    "left": "1204.99px",
    "top": "122.986px",
    "width": "160px"
   },
   "toc_section_display": false,
   "toc_window_display": true
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}