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Commit 8eaa51a2 authored by 1e0af269ca1624ab357d2cce16ac6d6f's avatar 1e0af269ca1624ab357d2cce16ac6d6f 🇫🇷
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mon fichier corrigé

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journal/tutorial.ipynb
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{ {
"cells": [ "cells": [
{
"cell_type": "markdown",
"metadata": {
"hideOutput": true
},
"source": [
"# le niveau 1 est le titre : un document computationnel"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Jupyter n'utilise plus de cellules spéciales pour les titres. À la place, utiliser la syntaxe de titre dans des cellules Markdown avec les caractères # :\n",
"## sous header 1 de niveau 2\n",
"## sous header 2 de niveau 2"
]
},
{ {
"cell_type": "markdown", "cell_type": "markdown",
"metadata": {}, "metadata": {},
"source": [ "source": [
"# Titre du document" "ceci qui suit est une entree code :"
] ]
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 4, "execution_count": 1,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
"data": { "data": {
"text/html": [
"4"
],
"text/latex": [
"4"
],
"text/markdown": [
"4"
],
"text/plain": [ "text/plain": [
"[1] 4" "100"
] ]
}, },
"execution_count": 1,
"metadata": {}, "metadata": {},
"output_type": "display_data" "output_type": "execute_result"
} }
], ],
"source": [ "source": [
"2+2" "2+2\n",
"10*10"
] ]
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 5, "execution_count": 2,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
"name": "stdout", "name": "stdout",
"output_type": "stream", "output_type": "stream",
"text": [ "text": [
"[1] 10\n" "10\n"
] ]
} }
], ],
...@@ -55,14 +66,14 @@ ...@@ -55,14 +66,14 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 6, "execution_count": 3,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
"name": "stdout", "name": "stdout",
"output_type": "stream", "output_type": "stream",
"text": [ "text": [
"[1] 20\n" "20\n"
] ]
} }
], ],
...@@ -80,27 +91,52 @@ ...@@ -80,27 +91,52 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 1, "execution_count": 6,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"100 15\n"
]
}
],
"source": [ "source": [
"import numpy as np\n", "import numpy as np\n",
"mu, sigma = 100, 15\n", "mu, sigma = 100, 15\n",
"sigma" "print(mu, sigma)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Sauver dans une variable"
] ]
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 2, "execution_count": 13,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[ 87.30688274 78.58071416 103.66554706 ... 129.94610091 74.21707079\n",
" 77.32247312]\n"
]
}
],
"source": [ "source": [
"x = np.random.normal(loc=mu, scale=sigma, size=10000)" "x = np.random.normal(loc=mu, scale=sigma, size=10000)\n",
"print(x)"
] ]
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 3, "execution_count": 14,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
...@@ -109,12 +145,12 @@ ...@@ -109,12 +145,12 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 4, "execution_count": 15,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
"data": { "data": {
"image/png": 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\n", "image/png": "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\n",
"text/plain": [ "text/plain": [
"<Figure size 432x288 with 1 Axes>" "<Figure size 432x288 with 1 Axes>"
] ]
...@@ -140,7 +176,16 @@ ...@@ -140,7 +176,16 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 1, "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"Insérer le module qui va accepter le code R"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
...@@ -149,7 +194,16 @@ ...@@ -149,7 +194,16 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 2, "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"Ouvrir le bloc de code R avec le directive %"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
......
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