From e6aff6d1ada3da8b35b4446760cf2de0e4f5d1d0 Mon Sep 17 00:00:00 2001
From: 1261dbb44216db3152292d7ebd180f0d
 <1261dbb44216db3152292d7ebd180f0d@app-learninglab.inria.fr>
Date: Wed, 1 Mar 2023 15:06:09 +0000
Subject: [PATCH] fin

---
 Exercice 02 1re partie | 46 ++++++++++++++++++++----------------------
 1 file changed, 22 insertions(+), 24 deletions(-)

diff --git a/Exercice 02 1re partie b/Exercice 02 1re partie
index 0bbbe37..6ce1109 100644
--- a/Exercice 02 1re partie	
+++ b/Exercice 02 1re partie	
@@ -1,25 +1,23 @@
-{
- "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
-}
+# Calcul de Pi
+
+from math import
+* print(pi)
+
+import numpy as np
+np.random.seed(seed=42)
+N = 10000
+x = np.random.uniform(size=N, low=0, high=1)
+theta = np.random.uniform(size=N, low=0, high=pi/2)
+2/(sum((x+np.sin(theta))>1)/N)
+
+ %matplotlib inline
+import matplotlib.pyplot as plt
+np.random.seed(seed=42)
+N = 1000
+x = np.random.uniform(size=N, low=0, high=1)
+y = np.random.uniform(size=N, low=0, high=1)
+
+
+
+
 
-- 
2.18.1