ex1

module2/exo1/toy_notebook_fr.ipynb

 {
- "cells": [],
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Title of the document"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "10\n"
+     ]
+    }
+   ],
+   "source": [
+    "x = 10\n",
+    "print(x)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "##example of completion"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "mu, sigma = 100, 15"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[112.27464222 114.02644259  90.74940252 ... 106.15288451 119.52220569\n",
+      "  70.00063499]\n"
+     ]
+    }
+   ],
+   "source": [
+    "x = np.random.normal(loc = mu, scale = sigma, size = 100000)\n",
+    "print(x)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import matplotlib.pyplot as plt"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<function matplotlib.pyplot.show(*args, **kw)>"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "%matplotlib inline\n",
+    "plt.hist(x)\n",
+    "plt.show"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "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",
+        "autoawait": "AsyncMagics",
+        "autocall": "AutoMagics",
+        "automagic": "AutoMagics",
+        "autosave": "KernelMagics",
+        "bookmark": "OSMagics",
+        "cat": "Other",
+        "cd": "OSMagics",
+        "clear": "KernelMagics",
+        "colors": "BasicMagics",
+        "conda": "PackagingMagics",
+        "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": "PackagingMagics",
+        "popd": "OSMagics",
+        "pprint": "BasicMagics",
+        "precision": "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  %autoawait  %autocall  %automagic  %autosave  %bookmark  %cat  %cd  %clear  %colors  %conda  %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  %pip  %popd  %pprint  %precision  %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": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "%lsmagic"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## use of other languages"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%load_ext rpy2.ipython"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "NameError",
+     "evalue": "name 'plot' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-11-58176ea0e3c2>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m##R\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcars\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m: name 'plot' is not defined"
+     ]
+    }
+   ],
+   "source": [
+    "##R\n",
+    "plot(cars)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
  "metadata": {
   "kernelspec": {
    "display_name": "Python 3",
@@ -16,10 +324,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.3"
+   "version": "3.6.4"
   }
  },
  "nbformat": 4,
  "nbformat_minor": 2
 }
-