premiers essaies avec Jupyter

module2/exo1/tutorial.ipynb

+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Titre du document"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "4"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "2+2"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Petit exemple de complétion"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "mu, sigma = 100, 15"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "x = np.random.normal(loc=mu, scale=sigma, size=10000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import matplotlib.pyplot as plt"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYEAAAD8CAYAAACRkhiPAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAD/NJREFUeJzt3X+o3fddx/Hny2bG7kdZatKaJZmJI/5oi+vWEKoDmVRtXGXp/hhk6BpYIaN0uMlEkw3cRAIV9wMLtpLZ2lRmQ9gPG2g7F8NgDLp1t7Vrkmax1yU2t4nNnUNXFeqSvf3jfMvO0nNzf9/Tez/PBxy+3/P+fr7n+3mTH6/7/Z7vOTdVhSSpTT8x7AlIkobHEJCkhhkCktQwQ0CSGmYISFLDDAFJapghIEkNMwQkqWGGgCQ1bNmwJzCZlStX1vr164c9DUlaVB5//PHvVtWqyca94kNg/fr1jIyMDHsakrSoJPm3qYzzcpAkNcwQkKSGGQKS1DBDQJIaZghIUsMMAUlqmCEgSQ0zBCSpYYaAJDXsFf+JYWky63c+NJTjnrzjpqEcV5pLnglIUsM8E5BmaFhnIOBZiOaOZwKS1LBJQyDJuiRfSXIsydEkH+zqH0/yXJInu8c7+vbZlWQ0yfEkN/bVr0tyuNt2Z5LMT1uSpKmYyuWgc8CHq+qJJK8DHk9ysNv26ar6RP/gJFcB24CrgTcA/5Tk56vqPHA3sAP4OvAwsAV4ZG5akSRN16RnAlV1pqqe6NZfAI4Bay6yy1ZgX1W9WFUngFFgc5LVwGVV9WhVFXA/cPOsO5Akzdi03hNIsh54C/CNrvSBJE8luTfJiq62BjjVt9tYV1vTrV9YlyQNyZRDIMlrgc8DH6qq79O7tPMm4FrgDPDJl4YO2L0uUh90rB1JRpKMjI+PT3WKkqRpmlIIJHkVvQD4bFV9AaCqnq+q81X1Q+AzwOZu+Biwrm/3tcDprr52QP1lqmpPVW2qqk2rVk36KzIlSTM0lbuDAtwDHKuqT/XVV/cNexdwpFs/AGxLsjzJBmAj8FhVnQFeSHJ995q3AA/OUR+SpBmYyt1BbwPeCxxO8mRX+wjwniTX0rukcxJ4P0BVHU2yH3ia3p1Ft3d3BgHcBtwHXErvriDvDJKkIZo0BKrqawy+nv/wRfbZDeweUB8BrpnOBCVJ88dPDEtSwwwBSWqYISBJDTMEJKlhhoAkNcwQkKSGGQKS1DBDQJIaZghIUsMMAUlqmCEgSQ0zBCSpYYaAJDXMEJCkhhkCktQwQ0CSGmYISFLDDAFJapghIEkNMwQkqWGGgCQ1zBCQpIYZApLUMENAkhpmCEhSwwwBSWqYISBJDTMEJKlhhoAkNcwQkKSGGQKS1LBJQyDJuiRfSXIsydEkH+zqlyc5mOSZbrmib59dSUaTHE9yY1/9uiSHu213Jsn8tCVJmoqpnAmcAz5cVb8EXA/cnuQqYCdwqKo2Aoe653TbtgFXA1uAu5Jc0r3W3cAOYGP32DKHvUiSpmnSEKiqM1X1RLf+AnAMWANsBfZ2w/YCN3frW4F9VfViVZ0ARoHNSVYDl1XVo1VVwP19+0iShmBa7wkkWQ+8BfgGcGVVnYFeUABXdMPWAKf6dhvramu69QvrkqQhmXIIJHkt8HngQ1X1/YsNHVCri9QHHWtHkpEkI+Pj41OdoiRpmqYUAkleRS8APltVX+jKz3eXeOiWZ7v6GLCub/e1wOmuvnZA/WWqak9VbaqqTatWrZpqL5KkaZrK3UEB7gGOVdWn+jYdALZ369uBB/vq25IsT7KB3hvAj3WXjF5Icn33mrf07SNJGoJlUxjzNuC9wOEkT3a1jwB3APuT3Ao8C7wboKqOJtkPPE3vzqLbq+p8t99twH3ApcAj3UOSNCSThkBVfY3B1/MBbphgn93A7gH1EeCa6UxQkjR//MSwJDXMEJCkhhkCktQwQ0CSGmYISFLDDAFJapghIEkNMwQkqWGGgCQ1zBCQpIYZApLUMENAkhpmCEhSwwwBSWqYISBJDTMEJKlhhoAkNWwqv15SmtT6nQ8NewqSZsAzAUlqmCEgSQ0zBCSpYYaAJDXMEJCkhhkCktQwQ0CSGmYISFLDDAFJapghIEkNMwQkqWGGgCQ1zBCQpIZNGgJJ7k1yNsmRvtrHkzyX5Mnu8Y6+bbuSjCY5nuTGvvp1SQ532+5MkrlvR5I0HVM5E7gP2DKg/umqurZ7PAyQ5CpgG3B1t89dSS7pxt8N7AA2do9BrylJWkCThkBVfRX43hRfbyuwr6perKoTwCiwOclq4LKqerSqCrgfuHmmk5YkzY3ZvCfwgSRPdZeLVnS1NcCpvjFjXW1Nt35hfaAkO5KMJBkZHx+fxRQlSRcz098sdjfwZ0B1y08C7wMGXeevi9QHqqo9wB6ATZs2TThOatWwfpPbyTtuGspxNX9mdCZQVc9X1fmq+iHwGWBzt2kMWNc3dC1wuquvHVCXJA3RjEKgu8b/kncBL905dADYlmR5kg303gB+rKrOAC8kub67K+gW4MFZzFuSNAcmvRyU5AHg7cDKJGPAx4C3J7mW3iWdk8D7AarqaJL9wNPAOeD2qjrfvdRt9O40uhR4pHtIkoZo0hCoqvcMKN9zkfG7gd0D6iPANdOanSRpXvmJYUlqmCEgSQ0zBCSpYYaAJDXMEJCkhhkCktQwQ0CSGmYISFLDDAFJapghIEkNMwQkqWGGgCQ1zBCQpIYZApLUMENAkhpmCEhSwwwBSWqYISBJDTMEJKlhhoAkNcwQkKSGGQKS1DBDQJIaZghIUsMMAUlqmCEgSQ0zBCSpYYaAJDXMEJCkhhkCktQwQ0CSGjZpCCS5N8nZJEf6apcnOZjkmW65om/briSjSY4nubGvfl2Sw922O5Nk7tuRJE3HVM4E7gO2XFDbCRyqqo3Aoe45Sa4CtgFXd/vcleSSbp+7gR3Axu5x4WtKkhbYpCFQVV8FvndBeSuwt1vfC9zcV99XVS9W1QlgFNicZDVwWVU9WlUF3N+3jyRpSGb6nsCVVXUGoFte0dXXAKf6xo11tTXd+oX1gZLsSDKSZGR8fHyGU5QkTWau3xgedJ2/LlIfqKr2VNWmqtq0atWqOZucJOnHzTQEnu8u8dAtz3b1MWBd37i1wOmuvnZAXZI0RDMNgQPA9m59O/BgX31bkuVJNtB7A/ix7pLRC0mu7+4KuqVvH0nSkCybbECSB4C3AyuTjAEfA+4A9ie5FXgWeDdAVR1Nsh94GjgH3F5V57uXuo3enUaXAo90D0nSEE0aAlX1ngk23TDB+N3A7gH1EeCaac1OkjSv/MSwJDXMEJCkhhkCktQwQ0CSGmYISFLDDAFJapghIEkNMwQkqWGGgCQ1zBCQpIYZApLUMENAkhpmCEhSwwwBSWqYISBJDTMEJKlhhoAkNcwQkKSGGQKS1DBDQJIaNukvmtfisn7nQ8OegqRFxDMBSWqYISBJDTMEJKlhhoAkNcwQkKSGGQKS1DBvEZU0ZcO6BfnkHTcN5bgt8ExAkhpmCEhSw2YVAklOJjmc5MkkI13t8iQHkzzTLVf0jd+VZDTJ8SQ3znbykqTZmYszgV+vqmuralP3fCdwqKo2Aoe65yS5CtgGXA1sAe5KcskcHF+SNEPzcTloK7C3W98L3NxX31dVL1bVCWAU2DwPx5ckTdFsQ6CALyd5PMmOrnZlVZ0B6JZXdPU1wKm+fce6miRpSGZ7i+jbqup0kiuAg0m+fZGxGVCrgQN7gbID4I1vfOMspyhJmsiszgSq6nS3PAt8kd7lneeTrAbolme74WPAur7d1wKnJ3jdPVW1qao2rVq1ajZTlCRdxIxDIMlrkrzupXXgt4AjwAFgezdsO/Bgt34A2JZkeZINwEbgsZkeX5I0e7O5HHQl8MUkL73O31fVl5J8E9if5FbgWeDdAFV1NMl+4GngHHB7VZ2f1ewlSbMy4xCoqu8Abx5Q/w/ghgn22Q3snukxJUlzy08MS1LDDAFJapghIEkNMwQkqWGGgCQ1zBCQpIYZApLUMENAkhpmCEhSwwwBSWqYISBJDTMEJKlhhoAkNcwQkKSGGQKS1DBDQJIaZghIUsMMAUlqmCEgSQ0zBCSpYYaAJDVs2bAnsBSt3/nQsKcgSVPimYAkNcwQkKSGGQKS1DBDQJIa5hvDkl7xhnmzxck7bhrasReCZwKS1DBDQJIaZghIUsMMAUlq2IKHQJItSY4nGU2yc6GPL0n6kQW9OyjJJcBfAb8JjAHfTHKgqp6ej+P59Q2SdHELfYvoZmC0qr4DkGQfsBWYlxCQpNka1g+TC3Vr6kJfDloDnOp7PtbVJElDsNBnAhlQq5cNSnYAO7qn/53k+LzOav6tBL477EksgBb6bKFHaKPPV3SP+fNZv8TPTmXQQofAGLCu7/la4PSFg6pqD7BnoSY135KMVNWmYc9jvrXQZws9Qht9ttDjVCz05aBvAhuTbEjyk8A24MACz0GS1FnQM4GqOpfkA8A/ApcA91bV0YWcgyTpRxb8C+Sq6mHg4YU+7pAtmUtbk2ihzxZ6hDb6bKHHSaXqZe/LSpIa4ddGSFLDDIF5kOT1ST6X5NtJjiX5lSSXJzmY5JluuWLY85yNJH+Q5GiSI0keSPJTS6HHJPcmOZvkSF9twr6S7Oq+AuV4khuHM+vpmaDHv+j+vj6V5ItJXt+3bdH1CIP77Nv2h0kqycq+2qLsc7YMgfnxl8CXquoXgTcDx4CdwKGq2ggc6p4vSknWAL8PbKqqa+i9yb+NpdHjfcCWC2oD+0pyFb2+r+72uav7apRXuvt4eY8HgWuq6peBfwF2waLuEQb3SZJ19L665tm+2mLuc1YMgTmW5DLg14B7AKrq/6rqP+l9Pcbebthe4ObhzHDOLAMuTbIMeDW9z3ss+h6r6qvA9y4oT9TXVmBfVb1YVSeAUXpfjfKKNqjHqvpyVZ3rnn6d3md4YJH2CBP+WQJ8GvgjfvyDqou2z9kyBObezwHjwN8m+eckf5PkNcCVVXUGoFteMcxJzkZVPQd8gt5PUmeA/6qqL7OEerzARH0t1a9BeR/wSLe+pHpM8k7guar61gWbllSf02EIzL1lwFuBu6vqLcD/sDgvi0youya+FdgAvAF4TZLfG+6shmJKX4OymCT5KHAO+OxLpQHDFmWPSV4NfBT4k0GbB9QWZZ/TZQjMvTFgrKq+0T3/HL1QeD7JaoBueXZI85sLvwGcqKrxqvoB8AXgV1laPfabqK8pfQ3KYpFkO/A7wO/Wj+4dX0o9voneDy7fSnKSXi9PJPkZllaf02IIzLGq+nfgVJJf6Eo30Puq7APA9q62HXhwCNObK88C1yd5dZLQ6/EYS6vHfhP1dQDYlmR5kg3ARuCxIcxv1pJsAf4YeGdV/W/fpiXTY1Udrqorqmp9Va2n9x//W7t/s0umz2mrKh9z/ACuBUaAp4B/AFYAP03vzpJnuuXlw57nLHv8U+DbwBHg74DlS6FH4AF673P8gN5/ErderC96lxf+FTgO/Paw5z+LHkfpXRN/snv89WLucaI+L9h+Eli52Puc7cNPDEtSw7wcJEkNMwQkqWGGgCQ1zBCQpIYZApLUMENAkhpmCEhSwwwBSWrY/wMAgyoB0ALHQwAAAABJRU5ErkJggg==\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": [
+    "# Utilisation d'autres langages"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The rpy2.ipython extension is already loaded. To reload it, use:\n",
+      "  %reload_ext rpy2.ipython\n"
+     ]
+    }
+   ],
+   "source": [
+    "%load_ext rpy2.ipython"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "%%R\n",
+    "plot(cars)"
+   ]
+  },
+  {
+   "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
+}