95 lines
1.8 KiB
Plaintext
95 lines
1.8 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 27,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"a = 0.7\n",
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"b = 2\n",
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"longueurs = np.arange(10)\n",
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"ecart = np.random.normal(0,1,10)\n",
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"valeurs = a*longueurs + b + 0.5*ecart"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 28,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"array([ 1.74415298, 2.28900387, 2.66515751, 3.22369361, 4.75102876,\n",
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" 5.77744568, 7.01348165, 7.51017164, 7.11560104, 7.90809218])"
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]
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},
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"execution_count": 28,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"valeurs"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 29,
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"metadata": {
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"collapsed": false
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},
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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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" (0,1.74) (1,2.29) (2,2.67) (3,3.22) (4,4.75) (5,5.78) (6,7.01) (7,7.51) (8,7.12) (9,7.91) \n"
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]
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}
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],
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"source": [
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"ans = \"\"\n",
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"for (i,a) in enumerate(valeurs):\n",
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" ans += \" ({},{}) \".format(longueurs[i],round(a,2))\n",
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"print(ans)"
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]
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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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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": []
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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": 3
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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": "ipython3",
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"version": "3.4.3"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 0
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}
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