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mooc-rr
Commit 368bcb47 authored by dca34f41fee2efa24adbe57b0fcf3009's avatar dca34f41fee2efa24adbe57b0fcf3009
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3rd attempt

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module2/exo1/toy_notebook_en.ipynb
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{ {
"cells": [ "cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<center>toy_notebook_en</center>\n",
"\n",
"<br>\n",
"<center>March 28, 2019</center>"
]
},
{ {
"cell_type": "markdown", "cell_type": "markdown",
"metadata": {}, "metadata": {},
...@@ -22,8 +12,6 @@ ...@@ -22,8 +12,6 @@
"metadata": {}, "metadata": {},
"source": [ "source": [
"## Asking the maths library\n", "## Asking the maths library\n",
"\n",
"\n",
"My computer tells me that $\\pi$ is *approximately*" "My computer tells me that $\\pi$ is *approximately*"
] ]
}, },
...@@ -49,13 +37,7 @@ ...@@ -49,13 +37,7 @@
"cell_type": "markdown", "cell_type": "markdown",
"metadata": {}, "metadata": {},
"source": [ "source": [
"## Buffon’s needle" "## Buffon’s needle\n",
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Applying the method of [Buffons needle](https://en.wikipedia.org/wiki/Buffon%27s_needle_problem), we get the **approximation**" "Applying the method of [Buffons needle](https://en.wikipedia.org/wiki/Buffon%27s_needle_problem), we get the **approximation**"
] ]
}, },
...@@ -88,13 +70,7 @@ ...@@ -88,13 +70,7 @@
"cell_type": "markdown", "cell_type": "markdown",
"metadata": {}, "metadata": {},
"source": [ "source": [
"## Using a surface fraction argument" "## Using a surface fraction argument\n",
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"A method that is easier to understand and does not make use of the sin function is based on the\n", "A method that is easier to understand and does not make use of the sin function is based on the\n",
"fact that if $X\\sim U(0,1)$ and $Y\\sim U(0,1)$, then $P[X^2+Y^2\\leq 1]=\\pi/4$ (see [\"Monte Carlo method\"\n", "fact that if $X\\sim U(0,1)$ and $Y\\sim U(0,1)$, then $P[X^2+Y^2\\leq 1]=\\pi/4$ (see [\"Monte Carlo method\"\n",
"on Wikipedia](https://en.wikipedia.org/wiki/Monte_Carlo_method)). The following code uses this approach:" "on Wikipedia](https://en.wikipedia.org/wiki/Monte_Carlo_method)). The following code uses this approach:"
......
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