Savoir faire un calcul simple soi-même

module2/exo2/exercice.ipynb

 {
- "cells": [],
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data = [\n",
+    "14.0, 9.7, 13.2, 12.5, 9.9, 14.9, 9.4, 16.9, 10.2, 14.9, 18.1, 7.3, 9.8,\n",
+    "12.1, 8.3, 11.4, 11.8, 14.6, 13.0, 14.8, 11.7, 10.7, 12.7, 12.9, 14.4, 13.3,\n",
+    "17.9, 9.2, 12.6, 18.4, 10.7, 19.0, 15.7, 14.9, 17.5, 13.9, 13.6, 16.5,\n",
+    "10.9, 14.7, 15.3, 12.9, 14.1, 12.5, 15.3, 16.1, 15.4, 16.2, 19.1, 17.4,\n",
+    "15.4, 15.9, 14.7, 16.9, 17.1, 18.2, 15.2, 16.4, 20.3, 23.7, 12.1,\n",
+    "15.4, 14.0, 8.3, 19.0, 21.0\n",
+    "]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Moyenne : 14.331818181818182\n",
+      "Écart-type : 3.2901792839113986\n",
+      "Minimum : 7.3\n",
+      "Médiane : 14.649999999999999\n",
+      "Maximum : 23.7\n"
+     ]
+    }
+   ],
+   "source": [
+    "import numpy as np\n",
+    "\n",
+    "print(\"Moyenne :\", np.mean(data))\n",
+    "print(\"Écart-type :\", np.std(data, ddof=1))\n",
+    "print(\"Minimum :\", np.min(data))\n",
+    "print(\"Médiane :\", np.median(data))\n",
+    "print(\"Maximum :\", np.max(data))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Calcul des statistiques descriptives\n",
+    "\n",
+    "On calcule ici la moyenne, l'écart-type, le minimum, la médiane et le maximum\n",
+    "de la série de données fournie, à l'aide de la bibliothèque *NumPy*.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
  "metadata": {
   "kernelspec": {
    "display_name": "Python 3",
@@ -16,10 +77,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.3"
+   "version": "3.6.4"
   }
  },
  "nbformat": 4,
  "nbformat_minor": 2
 }
-