131 lines
2.8 KiB
Plaintext
131 lines
2.8 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "initial_id",
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"metadata": {
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"collapsed": true,
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"ExecuteTime": {
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"end_time": "2023-11-03T14:40:42.068348908Z",
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"start_time": "2023-11-03T14:40:41.997684480Z"
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}
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},
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"outputs": [],
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"source": [
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"import numpy as np"
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]
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},
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{
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"cell_type": "markdown",
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"source": [
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"## Générer des séquences avec Numpy"
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],
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"metadata": {
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"collapsed": false
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},
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"id": "6d65456282534466"
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},
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{
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"cell_type": "markdown",
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"source": [
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"### Tableaux de nombres aléatoires"
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],
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"metadata": {
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"collapsed": false
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},
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"id": "adb17684a78c829f"
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"[[ 6.35623608 0.72967602 2.5754436 ]\n",
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" [-2.88764467 -1.78055093 2.04930599]\n",
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" [ 8.1408593 9.88370176 13.06873958]\n",
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" [12.10708755 9.83391867 1.11422918]\n",
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" [ 1.93749749 8.25277919 12.33940067]\n",
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" [ 9.29587924 10.28278442 7.00934509]\n",
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" [10.95330272 2.24590563 2.6462974 ]\n",
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" [ 7.82980317 10.88657225 6.50770094]]\n"
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]
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}
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],
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"source": [
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"import numpy as np\n",
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"normal1 = np.random.normal(scale=5.0, loc=5.0, size=(8, 3)) # loi Gaussienne, 3x3, de 0 à 10.0\n",
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"print(normal1)"
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],
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"metadata": {
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"collapsed": false,
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"ExecuteTime": {
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"end_time": "2023-11-03T14:44:17.624267987Z",
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"start_time": "2023-11-03T14:44:17.582546621Z"
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}
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},
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"id": "7790b82b0805c928"
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"[1.14733876 4.66776332 0.07763899 0.41786323 4.55656594 2.6577\n",
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" 0.08228448 0.47885595 7.58314882 0.12093808]\n"
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]
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}
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],
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"source": [
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"pareto1 = np.random.pareto(1.0, size=10)\n",
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"print(pareto1)"
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],
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"metadata": {
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"collapsed": false,
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"ExecuteTime": {
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"end_time": "2023-11-03T15:00:09.010119456Z",
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"start_time": "2023-11-03T15:00:08.985865113Z"
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}
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},
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"id": "423db763dfe8266e"
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"outputs": [],
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"source": [],
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"metadata": {
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"collapsed": false
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},
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"id": "9efd8f9a713c156a"
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 2
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython2",
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"version": "2.7.6"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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