no commit message

module2/exo1/toy_notebook_fr.ipynb

@@ -17,7 +17,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 43,
    "metadata": {},
    "outputs": [
     {
@@ -38,12 +38,12 @@
    "metadata": {},
    "source": [
     "## En utilisant la méthode des aiguilles de Buffon\n",
-    "Mais calculé avec la __méthode__ des [aiguilles de Buffon](https://fr.wikipedia.org/wiki/Aiguille_de_Buffon), on obtiendrait comme __approximation__ :"
+    "Mais calculé avec la __méthode__ des [aiguilles de Buffon](https://fr.wikipedia.org/wiki/Aiguille_de_Buffon), on obtiendrait comme __approximation__ :\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 44,
    "metadata": {},
    "outputs": [
     {
@@ -52,7 +52,7 @@
        "3.128911138923655"
       ]
      },
-     "execution_count": 34,
+     "execution_count": 44,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -60,9 +60,9 @@
    "source": [
     "import numpy as np\n",
     "np.random.seed(seed=42)\n",
-    "N=10000\n",
-    "x = np.random.uniform(size=N, low =0, high=1)\n",
-    "theta = np.random.uniform(size=N, low=0, high=np.pi/2)\n",
+    "N = 10000\n",
+    "x = np.random.uniform(size=N, low=0, high=1)\n",
+    "theta = np.random.uniform(size=N, low=0, high=pi/2)\n",
     "2/(sum((x+np.sin(theta))>1)/N)"
    ]
   },
@@ -76,7 +76,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 45,
    "metadata": {},
    "outputs": [
     {
@@ -93,7 +93,7 @@
     }
    ],
    "source": [
-    " %matplotlib inline\n",
+    "%matplotlib inline\n",
     "import matplotlib.pyplot as plt\n",
     "np.random.seed(seed=42)\n",
     "N = 1000\n",
@@ -116,7 +116,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 42,
    "metadata": {},
    "outputs": [
     {
@@ -125,7 +125,7 @@
        "3.112"
       ]
      },
-     "execution_count": 37,
+     "execution_count": 42,
      "metadata": {},
      "output_type": "execute_result"
     }