jupyter_magic.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Make Jupyter even more magical\n",
    "\n",
    "## (with cell magic extensions!)\n",
    "\n",
    "### by Nicolas Kruchten, from Datacratic"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "<img src=\"http://nicolas.kruchten.com/datacratic.png\" width=\"200\" />\n",
    "\n",
    "* Datacratic is Democratizing Machine Learning through the Machine Learning Database (http://mldb.ai/)\n",
    "* Based in Montreal, founded in 2010, venture-funded, 30 employees\n",
    "* Jupyter is shipped as part of MLDB as the main interface"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br/><br/><br/><br/><br/>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Intro to Jupyter\n",
    "\n",
    "First things first, you can run Python code in Jupyter."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello, world!\n"
     ]
    }
   ],
   "source": [
    "print \"Hello, world!\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Objects and functions stick around from cell to cell: I can define a function here..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def do_stuff():\n",
    "    print \"Hello again!\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "...and call it there."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello again!\n"
     ]
    }
   ],
   "source": [
    "do_stuff()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Inspecting objects is easy too."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import requests\n",
    "requests?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Markdown cells\n",
    "\n",
    "This is a Markdown cell.\n",
    "\n",
    "* this is a list item\n",
    "* and another"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br/><br/><br/><br/><br/>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Time for some Magic!\n",
    "\n",
    "Lines and cells that start with `%` are not interpreted like normal Python code: they are magical. Let's try a simple one first which will show us what magic is available."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "application/json": {
       "cell": {
        "!": "OSMagics",
        "HTML": "Other",
        "SVG": "Other",
        "bash": "Other",
        "capture": "ExecutionMagics",
        "debug": "ExecutionMagics",
        "dot": "GraphvizMagic",
        "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",
        "sql": "SqlMagic",
        "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",
        "hierarchy": "HierarchyMagic",
        "hist": "Other",
        "history": "HistoryMagics",
        "http": "Other",
        "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",
        "sql": "SqlMagic",
        "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  %hierarchy  %hist  %history  %http  %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  %sql  %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  %%dot  %%file  %%html  %%javascript  %%latex  %%perl  %%prun  %%pypy  %%python  %%python2  %%python3  %%ruby  %%script  %%sh  %%sql  %%svg  %%sx  %%system  %%time  %%timeit  %%writefile\n",
       "\n",
       "Automagic is ON, % prefix IS NOT needed for line magics."
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%lsmagic"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "code_to_paste.txt          pivottablejs.html\r\n",
      "jupyter_magic.ipynb        sample_ext.py\r\n",
      "jupyter_magic.slides.html  sample_ext.pyc\r\n",
      "mps.csv\r\n"
     ]
    }
   ],
   "source": [
    "%ls"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Do you have the time?\n",
      "CPU times: user 34 µs, sys: 5 µs, total: 39 µs\n",
      "Wall time: 37.9 µs\n"
     ]
    }
   ],
   "source": [
    "%time print \"Do you have the time?\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The slowest run took 4.75 times longer than the fastest. This could mean that an intermediate result is being cached \n",
      "1000000 loops, best of 3: 653 ns per loop\n"
     ]
    }
   ],
   "source": [
    "%%timeit\n",
    "x = 0\n",
    "for i in xrange(10): x += i"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{\n",
      "  \"args\": {}, \n",
      "  \"headers\": {\n",
      "    \"Accept\": \"*/*\", \n",
      "    \"Content-Length\": \"\", \n",
      "    \"Content-Type\": \"\", \n",
      "    \"Host\": \"localhost:5000\", \n",
      "    \"User-Agent\": \"curl/7.43.0\"\n",
      "  }, \n",
      "  \"origin\": \"127.0.0.1\", \n",
      "  \"url\": \"http://localhost:5000/get\"\n",
      "}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current\n",
      "                                 Dload  Upload   Total   Spent    Left  Speed\n",
      "\r",
      "  0     0    0     0    0     0      0      0 --:--:-- --:--:-- --:--:--     0\r",
      "100   240  100   240    0     0  34517      0 --:--:-- --:--:-- --:--:-- 40000\n"
     ]
    }
   ],
   "source": [
    "%%bash\n",
    "\n",
    "curl http://localhost:5000/get"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## First big idea of this talk: Jupyter cells are not just for Python!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br/><br/><br/><br/><br/>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Third-party Magic\n",
    "\n",
    "Those were all built-in magics, but we can install and load third-party magic extensions too."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The sql extension is already loaded. To reload it, use:\n",
      "  %reload_ext sql\n"
     ]
    }
   ],
   "source": [
    "%load_ext sql"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Connected: None@None'"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%sql sqlite://"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Done.\n",
      "Done.\n",
      "1 rows affected.\n",
      "1 rows affected.\n",
      "1 rows affected.\n",
      "1 rows affected.\n",
      "1 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[]"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "\n",
    "DROP TABLE IF EXISTS hockey;\n",
    "CREATE TABLE hockey (\"Team\", \"Stanley Cups Won\", \"Country\");\n",
    "INSERT INTO hockey VALUES (\"Montreal Canadiens\", 24, \"Canada\");\n",
    "INSERT INTO hockey VALUES (\"Detroit Red Wings\", 11, \"USA\");\n",
    "INSERT INTO hockey VALUES (\"Boston Bruins\", 6, \"USA\");\n",
    "INSERT INTO hockey VALUES (\"Chicago Blackhawks\", 11, \"USA\");\n",
    "INSERT INTO hockey VALUES (\"Toronto Maple Leafs\", 13, \"Canada\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Done.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <tr>\n",
       "        <th>Team</th>\n",
       "        <th>Stanley Cups Won</th>\n",
       "        <th>Country</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Montreal Canadiens</td>\n",
       "        <td>24</td>\n",
       "        <td>Canada</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Toronto Maple Leafs</td>\n",
       "        <td>13</td>\n",
       "        <td>Canada</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Detroit Red Wings</td>\n",
       "        <td>11</td>\n",
       "        <td>USA</td>\n",
       "    </tr>\n",
       "</table>"
      ],
      "text/plain": [
       "[(u'Montreal Canadiens', 24, u'Canada'),\n",
       " (u'Toronto Maple Leafs', 13, u'Canada'),\n",
       " (u'Detroit Red Wings', 11, u'USA')]"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%sql SELECT * FROM hockey ORDER BY \"Stanley Cups Won\" DESC LIMIT 3"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Whoa, what happened there? That's not text, that's HTML!\n",
    "\n",
    "The answer is that when displaying an object, Jupyter tries to get an HTML representation of that object from a method called `_repr_html_` if it exists. Any object with such a method gets displayed this way."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<h3 style=\"color: blue; text-align: center;\">I am a blue thing</h3><br/>"
      ],
      "text/plain": [
       "<__main__.Thing instance at 0x10e8a1d88>"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "class Thing():\n",
    "    def _repr_html_(self):\n",
    "        return \"\"\"<h3 style=\"color: blue; text-align: center;\">I am a blue thing</h3><br/>\"\"\"\n",
    "\n",
    "thing = Thing()\n",
    "thing"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Second big idea of this talk: `_repr_html_()` to control Notebook output"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br/><br/><br/><br/><br/>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Going visual with Matplotlib\n",
    "\n",
    "The `matplotlib` cell magic lets us tell Jupyter we want to see charts inline with the notebook."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can also capture the output of a cell magic and assign it to a variable, like so."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Done.\n"
     ]
    },
    {
     "data": {
      "image/png": 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ky2gIFFT1JIRJj8FfHoyusSJbpcPJi5lwTRN2Km2fdCnSwM1lAbP4qQZQ1A8F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\nNQWViIikmoJKRERS7f8Bjdzu0qmb3fUAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10e78b3d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = %sql SELECT * FROM hockey WHERE country='Canada' \n",
    "\n",
    "data.pie()\n",
    "None"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x10e834690>"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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SMwcTHh7KBZWGgw/NsSw/++0WRdsuXeZgpncJ7eoSPB6YhISEKNLMRkREoNG4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MGK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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10e8ba110>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "sns.set()\n",
    "\n",
    "df = sns.load_dataset(\"iris\")\n",
    "sns.pairplot(df, hue=\"species\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Interactive Data Exploration with PivotTable.js\n",
    "\n",
    "(Shameless plug: I am the author of PivotTable.js and the `pivottablejs` Python module)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Name</th>\n",
       "      <th>Party</th>\n",
       "      <th>Province</th>\n",
       "      <th>Age</th>\n",
       "      <th>Gender</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Liu, Laurin</td>\n",
       "      <td>NDP</td>\n",
       "      <td>Quebec</td>\n",
       "      <td>22</td>\n",
       "      <td>Female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Mourani, Maria</td>\n",
       "      <td>Bloc Quebecois</td>\n",
       "      <td>Quebec</td>\n",
       "      <td>43</td>\n",
       "      <td>Female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Sellah, Djaouida</td>\n",
       "      <td>NDP</td>\n",
       "      <td>Quebec</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>St-Denis, Lise</td>\n",
       "      <td>NDP</td>\n",
       "      <td>Quebec</td>\n",
       "      <td>72</td>\n",
       "      <td>Female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Fry, Hedy</td>\n",
       "      <td>Liberal</td>\n",
       "      <td>British Columbia</td>\n",
       "      <td>71</td>\n",
       "      <td>Female</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Name           Party          Province  Age  Gender\n",
       "0       Liu, Laurin             NDP            Quebec   22  Female\n",
       "1    Mourani, Maria  Bloc Quebecois            Quebec   43  Female\n",
       "2  Sellah, Djaouida             NDP            Quebec  NaN  Female\n",
       "3    St-Denis, Lise             NDP            Quebec   72  Female\n",
       "4         Fry, Hedy         Liberal  British Columbia   71  Female"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "df = pd.read_csv(\"mps.csv\")\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Province</th>\n",
       "      <th>Alberta</th>\n",
       "      <th>British Columbia</th>\n",
       "      <th>Manitoba</th>\n",
       "      <th>New Brunswick</th>\n",
       "      <th>Newfoundland and Labrador</th>\n",
       "      <th>Nova Scotia</th>\n",
       "      <th>Ontario</th>\n",
       "      <th>Prince Edward Island</th>\n",
       "      <th>Quebec</th>\n",
       "      <th>Saskatchewan</th>\n",
       "      <th>Territories</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Party</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Bloc Quebecois</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Conservative</th>\n",
       "      <td>27</td>\n",
       "      <td>21</td>\n",
       "      <td>11</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>73</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>13</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Green</th>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Liberal</th>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>11</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NDP</th>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>22</td>\n",
       "      <td>NaN</td>\n",
       "      <td>59</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Province        Alberta  British Columbia  Manitoba  New Brunswick  \\\n",
       "Party                                                                \n",
       "Bloc Quebecois      NaN               NaN       NaN            NaN   \n",
       "Conservative         27                21        11              8   \n",
       "Green               NaN                 1       NaN            NaN   \n",
       "Liberal             NaN                 2         1              1   \n",
       "NDP                   1                12         2              1   \n",
       "\n",
       "Province        Newfoundland and Labrador  Nova Scotia  Ontario  \\\n",
       "Party                                                             \n",
       "Bloc Quebecois                        NaN          NaN      NaN   \n",
       "Conservative                            1            4       73   \n",
       "Green                                 NaN          NaN      NaN   \n",
       "Liberal                                 4            4       11   \n",
       "NDP                                     2            3       22   \n",
       "\n",
       "Province        Prince Edward Island  Quebec  Saskatchewan  Territories  \n",
       "Party                                                                    \n",
       "Bloc Quebecois                   NaN       4           NaN          NaN  \n",
       "Conservative                       1       5            13            2  \n",
       "Green                            NaN     NaN           NaN          NaN  \n",
       "Liberal                            3       7             1          NaN  \n",
       "NDP                              NaN      59           NaN            1  "
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.pivot_table(index=\"Party\", columns=\"Province\", aggfunc=len, values=\"Name\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "        <iframe\n",
       "            width=\"100%\"\n",
       "            height=\"500\"\n",
       "            src=\"pivottablejs.html\"\n",
       "            frameborder=\"0\"\n",
       "            allowfullscreen\n",
       "        ></iframe>\n",
       "        "
      ],
      "text/plain": [
       "<IPython.lib.display.IFrame at 0x10f7ff150>"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from pivottablejs import pivot_ui\n",
    "pivot_ui(df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Making diagrams with Graphviz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The hierarchymagic extension is already loaded. To reload it, use:\n",
      "  %reload_ext hierarchymagic\n"
     ]
    }
   ],
   "source": [
    "%load_ext hierarchymagic"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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PD1hYWODUqVNv3NtRUFCAS5cu4dy5c7hy5QpKS0thaGgIJycnuLq6Yty4caLdMV1Bc3Mz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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%dot \n",
    "\n",
    "digraph G { \n",
    "    rankdir=LR;\n",
    "    hello -> world;\n",
    "    goodbye -> cruel -> world;\n",
    "    world -> of -> warcraft;\n",
    "}\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Interactive forms"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "u'Hello, world! Hello, world! Hello, world! '"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from ipywidgets import interact\n",
    "\n",
    "@interact\n",
    "def echo(input=\"Hello, world!\", times=[1,5,1]):\n",
    "    return (input+\" \")*times"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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3Yzkea/qYTgASEblEdEY0o+8a7fdlCSrMAs/c9wydXJ1MxxAR8R1u+NONf6J9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\nRES88P9dRt3Ca3brAgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x110046a90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "None"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "@interact\n",
    "def polynomial(split=[0,100]):\n",
    "    plt.pie([split/100.0, 1.0-split/100.0], labels=[\"Montreal Canadiens\", \"Toronto Maple Leafs\"])\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br/><br/><br/><br/><br/>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## So let's make our own extension!\n",
    "\n",
    "Here I'll switch to Jupyter's built-in text editor. Oh yeah, Jupyter has a built-in text editor! And a web-based terminal. (Yes, this is a giant security hole :)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The sample_ext extension is already loaded. To reload it, use:\n",
      "  %reload_ext sample_ext\n"
     ]
    }
   ],
   "source": [
    "%load_ext sample_ext"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "blah blah\n"
     ]
    }
   ],
   "source": [
    "%http blah blah"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br/><br/><br/><br/><br/>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## One more thing...\n",
    "\n",
    "Any notebook can be served up as a slide deck!\n",
    "\n",
    "`jupyter nbconvert jupyter_magic.ipynb --to slides --post serve`\n",
    "\n",
    "Notebooks can also be shared really easily, for example this one is available at\n",
    "\n",
    "## http://github.com/nicolaskruchten/pyconca\n",
    "\n",
    "<br/><br/><br/><br/><br/>\n",
    "\n",
    "![Contact](http://nicolas.kruchten.com/contact.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "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
}