exercices python et R

module2/exo1/Petit exercice d'utilisation de jupiter.ipynb

+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Petit exercice d'utilisation de jupiter"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Liste de 1 a 10 avec python"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "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": 18,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "mu=120\n",
+    "sigma=10"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "x= np.random.normal(loc=mu, scale=sigma, size=1000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import matplotlib.pyplot as plt"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "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": 16,
+   "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": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "%lsmagic"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%load_ext rpy2.ipython"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "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": 2
+}

module2/exo1/toy_notebook_fr.ipynb

-{
- "cells": [],
- "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": "3.6.3"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
-