Initial commit : add environment initialization

module3/exo2/Etude de cas incidence de la varicelle..ipynb

+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Incidence de la varicelle\n",
+    "## Récupération des données: \n",
+    "Initialisation de l'environnement de développement."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%matplotlib inline\n",
+    "import matplotlib.pyplot as plt\n",
+    "import pandas as pd\n",
+    "import isoweek\n",
+    "\n",
+    "#variables d'import des données :\n",
+    "data_url = \"http://www.sentiweb.fr/datasets/incidence-PAY-3.csv\"\n",
+    "data_local = \"incidence-PAY-3.csv\"\n",
+    "\n",
+    "import os\n",
+    "import urllib.request\n",
+    "#Test de présence des données : \n",
+    "if os.path.exists(data_local):\n",
+    "    raw_data = pd.read_csv(data_local, skiprows=1)\n",
+    "    print(\"Local File Selected\")\n",
+    "else :\n",
+    "    urllib.request.urlretrieve(data_url, data_data)\n",
+    "    raw_data = pd.read_csv(data_url, skiprows=1)\n",
+    "\n",
+    "#Contient les données local ou provenant de l'url ci-dessus.\n",
+    "raw_data"
+   ]
+  }
+ ],
+ "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
+}

module3/exo2/exercice.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
-}
-