"Mon ordianteur m'indique que $\\pi$ vaut *approxiamtivement*"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"3.141592653589793\n"
]
}
],
"source": [
" from math import *\n",
" print(pi)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**1.2.En utilisant la méthode des aiguilles de Buffon**"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
" Mais calculé avec la **méthode** des [Aiguilles de Buffon](https://fr.wikipedia.org/wiki/Aiguille_de_Buffon) ,on obtiendrait comme **approximation** :"
"Mon ordianteur m'indique que π vaut *approxiamtivement*"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"3.141592653589793\n"
]
}
],
"source": [
" from math import *\n",
" print(pi)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"3.141592653589793"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**1.2.En utilisant la méthode des aiguilles de Buffon**"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"ename": "SyntaxError",
"evalue": "invalid syntax (<ipython-input-10-8125d01a75d0>, line 1)",
"output_type": "error",
"traceback": [
"\u001b[0;36m File \u001b[0;32m\"<ipython-input-10-8125d01a75d0>\"\u001b[0;36m, line \u001b[0;32m1\u001b[0m\n\u001b[0;31m Mais calculé avec la **méthode** des http://aiguillesdeBuffon.com , on obtiendrait comme **approximation** :\u001b[0m\n\u001b[0m ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n"
]
}
],
"source": [
"Mais calculé avec la **méthode** des http://aiguillesdeBuffon.com , on obtiendrait comme **approximation** :"
]
},
{
"cell_type": "raw",
"metadata": {},
"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",
