From 4bf578935667e28aeaa3f04a69fa1d93592a17cc Mon Sep 17 00:00:00 2001 From: 6b2894622ff3cf5b8069a0ecc423c4f8 <6b2894622ff3cf5b8069a0ecc423c4f8@app-learninglab.inria.fr> Date: Sun, 19 Apr 2020 16:59:46 +0000 Subject: [PATCH] 18h59 --- module2/exo1/toy_notebook_fr.ipynb | 20 ++++++++++---------- 1 file changed, 10 insertions(+), 10 deletions(-) diff --git a/module2/exo1/toy_notebook_fr.ipynb b/module2/exo1/toy_notebook_fr.ipynb index 83157b2..d166cd6 100644 --- a/module2/exo1/toy_notebook_fr.ipynb +++ b/module2/exo1/toy_notebook_fr.ipynb @@ -42,7 +42,7 @@ }, "source": [ "## En utilisant la méthode des aiguilles de Buffon \n", - "Mais calculé avec la **méthode** des aiguilles 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** : " ] }, { @@ -67,9 +67,9 @@ "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=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)" ] }, @@ -110,12 +110,12 @@ "%matplotlib inline\n", "import matplotlib.pyplot as plt\n", "np.random.seed(seed=42)\n", - "N=1000\n", - "x=np.random.uniform(size=N, low=0, high=1)\n", - "y=np.random.uniform(size=N, low=0, high=1)\n", - "accept=(x*x+y*y)<=1\n", - "reject=np.logical_not(accept)\n", - "fig, ax=plt.subplots(1)\n", + "N = 1000\n", + "x = np.random.uniform(size=N, low=0, high=1)\n", + "y = np.random.uniform(size=N, low=0, high=1)\n", + "accept = (x*x+y*y)<=1\n", + "reject = np.logical_not(accept)\n", + "fig, ax = plt.subplots(1)\n", "ax.scatter(x[accept], y[accept], c='b', alpha=0.2, edgecolor=None)\n", "ax.scatter(x[reject], y[reject], c='r', alpha=0.2, edgecolor=None)\n", "ax.set_aspect('equal')" -- 2.18.1