un premier essai de notebook jupyter

module2/exo1/test.ipynb

+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Titre du document"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "4"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "2+2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "10\n"
+     ]
+    }
+   ],
+   "source": [
+    "x = 10\n",
+    "print(x)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "20\n"
+     ]
+    }
+   ],
+   "source": [
+    "x = x + 10\n",
+    "print(x)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Petit exemple de complétion "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "mu, sigma = 100, 15 "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[ 96.37120961  91.39340048 114.17539396 ...  93.05328986 100.74054968\n",
+      " 118.40466679]\n"
+     ]
+    }
+   ],
+   "source": [
+    "x = np.random.normal(loc=mu, scale=sigma, size=10000)\n",
+    "print(x)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import matplotlib.pyplot as plt"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "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": 13,
+   "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": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "%lsmagic\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Utilisation d'autres languages "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}