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module2/exo1/toy_nb.ipynb

+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Titre du document"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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1694v/57LPPfBIWACA6lGfsPvjggzlz5hQWFnbr1u2KK64455xzDjssNR+5sKUY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",
+      "text/plain": [
+       "Plot with title “Histogram of foo”"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "set.seed(123)\n",
+    "foo <- rnorm(10000, 10, 2)\n",
+    "hist(foo, breaks = 50, col=\"blue\")\n",
+    "abline(v=mean(foo), col=\"red\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "   Min. 1st Qu.  Median    Mean 3rd Qu.    Max. \n",
+       "  2.309   8.664   9.978   9.995  11.347  17.696 "
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "summary(foo)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#import numpy as np\n",
+    "#x = np.random.normal(10, 2, 10000)\n",
+    "#import matplotlib.pyplot as plt\n",
+    "#%matplotlib inline\n",
+    "#plt.hist(x, bins=50)\n",
+    "#plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%load_ext"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "R",
+   "language": "R",
+   "name": "ir"
+  },
+  "language_info": {
+   "codemirror_mode": "r",
+   "file_extension": ".r",
+   "mimetype": "text/x-r-source",
+   "name": "R",
+   "pygments_lexer": "r",
+   "version": "3.4.1"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

module2/exo1/toy_notebook_fr.ipynb

 {
- "cells": [],
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Titre du document"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "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": [
+    "import numpy as np\n",
+    "x = np.random.normal(10, 2, 10000)\n",
+    "import matplotlib.pyplot as plt\n",
+    "%matplotlib inline\n",
+    "plt.hist(x, bins=50)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
  "metadata": {
   "kernelspec": {
    "display_name": "Python 3",
@@ -16,10 +58,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.3"
+   "version": "3.6.4"
   }
  },
  "nbformat": 4,
  "nbformat_minor": 2
 }
-