From b513c1af36e28a217fb56e5a017e398fa87108b7 Mon Sep 17 00:00:00 2001
From: a12161f2df0e1aabd768453ba47e6d46
 <a12161f2df0e1aabd768453ba47e6d46@app-learninglab.inria.fr>
Date: Sun, 16 Mar 2025 21:21:04 +0000
Subject: [PATCH] =?UTF-8?q?exercie=20termin=C3=A9?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 module2/exo2/exercice_fr.ipynb | 122 ++++++++++++++++++++++++++++++++-
 1 file changed, 119 insertions(+), 3 deletions(-)

diff --git a/module2/exo2/exercice_fr.ipynb b/module2/exo2/exercice_fr.ipynb
index 0bbbe37..2cf6bd8 100644
--- a/module2/exo2/exercice_fr.ipynb
+++ b/module2/exo2/exercice_fr.ipynb
@@ -1,5 +1,122 @@
 {
- "cells": [],
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Calcul de stats\n",
+    "## Importation de NumPy"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Liste des valeurs"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "valeurs = np.array([14.0, 7.6, 11.2, 12.8, 12.5, 9.9, 14.9, 9.4, 16.9, 10.2, 14.9, 18.1, 7.3, 9.8, 10.9,12.2, 9.9, 2.9, 2.8, 15.4, 15.7, 9.7, 13.1, 13.2, 12.3, 11.7, 16.0, 12.4, 17.9, 12.2, 16.2, 18.7, 8.9, 11.9, 12.1, 14.6, 12.1, 4.7, 3.9, 16.9, 16.8, 11.3, 14.4, 15.7, 14.0, 13.6, 18.0, 13.6, 19.9, 13.7, 17.0, 20.5, 9.9, 12.5, 13.2, 16.1, 13.5, 6.3, 6.4, 17.6, 19.1, 12.8, 15.5, 16.3, 15.2, 14.6, 19.1, 14.4, 21.4, 15.1, 19.6, 21.7, 11.3, 15.0, 14.3, 16.8, 14.0, 6.8, 8.2, 19.9, 20.4, 14.6, 16.4, 18.7, 16.8, 15.8, 20.4, 15.8, 22.4, 16.2, 20.3, 23.4, 12.1, 15.5, 15.4, 18.4, 15.7, 10.2, 8.9, 21.0])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Calcul de la moyenne"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "La moyenne est : 14.113000000000001\n"
+     ]
+    }
+   ],
+   "source": [
+    "moyenne = np.mean(valeurs)\n",
+    "print(\"La moyenne est :\", moyenne)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Valeurs minimale et maximale"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "La valeur minimale est : 2.8\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"La valeur minimale est :\",np.min(valeurs))\n",
+    "print(\"La valeur maxmimale est :\",np.max(valeurs))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Médiane et écart-type"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "La médiane vaut : 14.5\n",
+      "L'écart-type vaut : 4.312369534258399\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"La médiane vaut :\",np.median(valeurs))\n",
+    "print(\"L'écart-type vaut :\",np.std(valeurs))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
  "metadata": {
   "kernelspec": {
    "display_name": "Python 3",
@@ -16,10 +133,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.3"
+   "version": "3.6.4"
   }
  },
  "nbformat": 4,
  "nbformat_minor": 2
 }
-
-- 
2.18.1