diff --git a/module1/exo2/fichier-markdown.md b/module1/exo2/fichier-markdown.md
index 30d74d258442c7c65512eafab474568dd706c430..1a09db8ba75b7b77d320d06c0316b53e82e7938c 100644
--- a/module1/exo2/fichier-markdown.md
+++ b/module1/exo2/fichier-markdown.md
@@ -1 +1,37 @@
-test
\ No newline at end of file
+# Partie 1 #
+
+## Sous-partie 1: texte ##
+
+Une phrase sans rien
+
+_Une phrase en italique_
+
+**Une phrase en gras**
+
+Un lien vers [fun-mooc.fr](https://www.fun-mooc.fr/)
+
+Une ligne de 
+```code```
+
+## Sous-partie 2: listes ##
+
+**Liste à puce**
+
+- item
+
+	- sous-item
+	- sous-item
+	
+- item
+- item
+
+**Liste numérotée**
+
+1. item
+2. item
+3. item
+
+
+**Sous-partie 3:code**
+
+	# Extrait de code
\ No newline at end of file
diff --git a/module2/exo2/exercice.ipynb b/module2/exo2/exercice.ipynb
index 0bbbe371b01e359e381e43239412d77bf53fb1fb..a8f0054fc931f30312053c0742ac019a921f1c49 100644
--- a/module2/exo2/exercice.ipynb
+++ b/module2/exo2/exercice.ipynb
@@ -1,5 +1,46 @@
 {
- "cells": [],
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "14.113000000000001 4.334094455301447 2.8 14.5 23.4\n"
+     ]
+    }
+   ],
+   "source": [
+    "import numpy as np\n",
+    "\n",
+    "data1 = [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]\n",
+    "\n",
+    "data = np.array(data1)\n",
+    "\n",
+    "mean = np.mean(data)\n",
+    "\n",
+    "stdd = np.std(data,ddof=1)\n",
+    "\n",
+    "mind = np.min(data)\n",
+    "\n",
+    "mediand = np.median(data)\n",
+    "\n",
+    "maxd = np.max(data)\n",
+    "\n",
+    "print(mean,stdd,mind,mediand,maxd)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
  "metadata": {
   "kernelspec": {
    "display_name": "Python 3",
@@ -16,10 +57,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.3"
+   "version": "3.6.4"
   }
  },
  "nbformat": 4,
  "nbformat_minor": 2
 }
-