Add various notebooks

module2/exo1/toy_notebook_en.ipynb

@@ -31,7 +31,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# 1.2 Buffon's needle\n",
+    "# Buffon's needle\n",
     "Applying the method of [Buffon's needle](https://en.wikipedia.org/wiki/Buffon%27s_needle_problem), we get the **approximation**"
    ]
   },

module3/exo1/influenza-like-illness-analysis.ipynb

@@ -9,16 +9,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 5,
+   "metadata": {},
    "outputs": [],
    "source": [
     "%matplotlib inline\n",
     "import matplotlib.pyplot as plt\n",
     "import pandas as pd\n",
-    "import isoweek"
+    "import isoweek\n",
+    "\n",
+    "from os.path import isfile"
    ]
   },
   {
@@ -30,12 +30,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 2,
+   "metadata": {},
    "outputs": [],
    "source": [
+    "# Website for initial download\n",
     "data_url = \"http://www.sentiweb.fr/datasets/incidence-PAY-3.csv\""
    ]
   },
@@ -63,12 +62,33 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
+    "# Initial download and saving a local copy\n",
     "raw_data = pd.read_csv(data_url, skiprows=1)\n",
-    "raw_data"
+    "fname = \"raw_influenza_incidence_data.csv\"\n",
+    "raw_data.to_csv(fname)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Before loading the website from the internet, check if a local copy already exists. If a local copy exists, load it into a dataframe. If not, then get it from the URL. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "if isfile(fname):\n",
+    "    raw_data = pd.read_csv(fname, skiprows=1)\n",
+    "else:\n",
+    "    raw_data = pd.read_csv(data_url, skiprows=1)"
    ]
   },
   {
@@ -365,7 +385,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.1"
+   "version": "3.6.4"
   }
  },
  "nbformat": 4,