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8c2481a10dd33818b61b3592d19a3613
mooc-rr
Commits
6f20a885
Commit
6f20a885
authored
May 03, 2020
by
8c2481a10dd33818b61b3592d19a3613
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doc : add documentation for jupyter and python within jupyter use this as an example
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Template Jupyter shortcuts and python tips .ipynb
...e2/exo4/Template Jupyter shortcuts and python tips .ipynb
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exercice.ipynb
module2/exo4/exercice.ipynb
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module2/exo4/Template Jupyter shortcuts and python tips .ipynb
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6f20a885
{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"hideCode": true
},
"source": [
"# Jupyter's shortcuts :\n",
"\n",
"Find the whole list by clicking help > keyboard shortcuts.\n",
"\n",
"## List of commom and use full features\n",
"\n",
"* shift + enter = run the current cell;\n",
"* alt + enter = run cell and add one after it;\n",
"* tab while editing for auto completion"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Python template\n",
"## Histogram"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"from matplotlib import pyplot as plt \n",
"import numpy as np \n",
" \n",
"a = np.array([22,87,5,43,56,73,55,54,11,20,51,5,79,31,27]) \n",
"plt.hist(a, bins = 'auto') #automaticaly set bins for you; i.e. the width;\n",
"plt.title(\"histogram\") \n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Standard plot & initialisation \n",
"Using data from previous exercices"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"#Create a list \n",
"y = [14.0, 7.6, 11.2, 12.8, 12.5, 9.9, 14.9, 9.4, 16.9, 10.2, 14.9, 18.1, 7.3, 9.8, 10.9,12.2, 9.9, 2.9, 2.8, 15.4, 15.7, 9.7, 13.1, 13.2, 12.3, 11.7, 16.0, 12.4, 17.9, 12.2, 16.2, 18.7, 8.9, 11.9, 12.1, 14.6, 12.1, 4.7, 3.9, 16.9, 16.8, 11.3, 14.4, 15.7, 14.0, 13.6, 18.0, 13.6, 19.9, 13.7, 17.0, 20.5, 9.9, 12.5, 13.2, 16.1, 13.5, 6.3, 6.4, 17.6, 19.1, 12.8, 15.5, 16.3, 15.2, 14.6, 19.1, 14.4, 21.4, 15.1, 19.6, 21.7, 11.3, 15.0, 14.3, 16.8, 14.0, 6.8, 8.2, 19.9, 20.4, 14.6, 16.4, 18.7, 16.8, 15.8, 20.4, 15.8, 22.4, 16.2, 20.3, 23.4, 12.1, 15.5, 15.4, 18.4, 15.7, 10.2, 8.9, 21.0]\n",
"#create a list which correspond to the y's element number in the list for instance 7.6 is the second element which correspond to '1'\n",
"x = []\n",
"# it's incrementing i between 0 and the length of y (100-1) and then append i to x (in the list) \n",
"for i in range(len(y)) :\n",
" x.append(i)\n",
" \n",
"#then show the plot\n",
"plt.title(\"Matplotlib demo\") \n",
"plt.xlabel(\"x axis caption\") \n",
"plt.ylabel(\"y axis caption\") \n",
"plt.plot(x,y) \n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"*More details to come*"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.4"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
module2/exo4/exercice.ipynb
deleted
100644 → 0
View file @
cb1424a8
{
"cells": [],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.3"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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