From 479e6b5b4c10364d365e9126111a0be64fbc1ae4 Mon Sep 17 00:00:00 2001
From: 0c46a6992061d330dacd337aa0d1f077
 <0c46a6992061d330dacd337aa0d1f077@app-learninglab.inria.fr>
Date: Mon, 20 Apr 2020 17:41:12 +0000
Subject: [PATCH] second test jupyter

---
 module2/exo2/Module2 exo2.ipynb | 144 ++++++++++++++++++++++++++++++++
 module2/exo2/exercice.ipynb     |  25 ------
 2 files changed, 144 insertions(+), 25 deletions(-)
 create mode 100644 module2/exo2/Module2 exo2.ipynb
 delete mode 100644 module2/exo2/exercice.ipynb

diff --git a/module2/exo2/Module2 exo2.ipynb b/module2/exo2/Module2 exo2.ipynb
new file mode 100644
index 0000000..0e569ba
--- /dev/null
+++ b/module2/exo2/Module2 exo2.ipynb	
@@ -0,0 +1,144 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Savoir faire un calcul simple soi-même\n",
+    "\n",
+    "Calculer la moyenne et l'écart-type, le min, la médiane et le max des données suivantes :"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "11.511917811136218"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import numpy as np\n",
+    "mu, sigma = 0.0, 1.0\n",
+    "x=np.random.normal(loc=11.5, scale=0.5, size=100)\n",
+    "abs(np.mean(x))\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "1.0833216722028933"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "abs(np.std(x, ddof=1)) "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "2.734638689755644"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "abs(np.min(x))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "2.9458688812984666"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "abs(np.max(x))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "11.922677674564472"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "abs(np.median(x))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "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
+}
diff --git a/module2/exo2/exercice.ipynb b/module2/exo2/exercice.ipynb
deleted file mode 100644
index 0bbbe37..0000000
--- a/module2/exo2/exercice.ipynb
+++ /dev/null
@@ -1,25 +0,0 @@
-{
- "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
-}
-
-- 
2.18.1