un premier essai avec jupiter

parent ce55cea2
{
"cells": [],
"metadata": {},
"nbformat": 4,
"nbformat_minor": 4
}
{
"cells": [],
"cells": [
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
......@@ -16,10 +24,9 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.3"
"version": "3.6.4"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Titre du document"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"4"
]
},
"execution_count": 1,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"2+2"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"10\n"
]
}
],
"source": [
"x=10\n",
"print(x)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"20\n"
]
}
],
"source": [
"x = x +10\n",
"print(x)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Petit exemple de completion"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"import numpy as np\n",
"mu, sigma = 100, 15"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"x = np.random.normal(loc=mu, scale=sigma, size=10000)"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"import matplotlib.pyplot as plt"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAYcAAAD8CAYAAACcjGjIAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAELJJREFUeJzt3X+s3XV9x/Hna1QZ/iCW9cKwrWln6jYgitJ1bGQLyjaqGIt/mJRMaTKSGoKbLu5Hq8l0fzRhmz82ksGCwijT0TSKoxFwMmZmTBC8MKSU2tFJB5d2tM5ssi1hFt/743ybnfVzbu/tvbf3nHt5PpKT8z3v76/PO23v635/nG9TVUiS1O/Hhj0ASdLoMRwkSQ3DQZLUMBwkSQ3DQZLUMBwkSQ3DQZLUMBwkSQ3DQZLUWDLsAUxl2bJltWrVqmEPQ5IWlIcffvh7VTU20/VHPhxWrVrF+Pj4sIchSQtKkn+ZzfqeVpIkNQwHSVLDcJAkNQwHSVLDcJAkNQwHSVLDcJAkNQwHSVLDcJAkNUb+G9LSqFq15e6h7fvA9VcMbd96afDIQZLUMBwkSQ3DQZLUMBwkSQ3DQZLUMBwkSQ3DQZLUMBwkSQ3DQZLUMBwkSQ3DQZLUMBwkSQ3DQZLU8KmsWvCG+XRUabHyyEGS1DAcJEkNw0GS1DAcJEmNKcMhycokX0uyN8meJB/s6h9P8mySR7vXO/rW2Zpkf5J9SS7vq1+UZHc374YkOTVtSZJmYzp3Kx0FPlxVjyR5NfBwkvu6eZ+uqk/0L5zkPGAjcD7wWuDvkryhql4EbgI2A98E7gHWA/fOTSuSpLky5ZFDVR2qqke66eeBvcDyE6yyAdhRVS9U1VPAfmBdknOBM6vqgaoq4Hbgyll3IEmacyd1zSHJKuDNwINd6QNJHktya5KlXW058EzfahNdbXk3fXx90H42JxlPMn7kyJGTGaIkaQ5MOxySvAr4IvChqvoBvVNErwcuBA4Bnzy26IDV6wT1tlh1c1Wtraq1Y2Nj0x2iJGmOTCsckryMXjB8vqruBKiq56rqxar6EfAZYF23+ASwsm/1FcDBrr5iQF2SNGKmc7dSgFuAvVX1qb76uX2LvRt4vJveBWxMcnqS1cAa4KGqOgQ8n+TibptXA3fNUR+SpDk0nbuVLgHeB+xO8mhX+whwVZIL6Z0aOgC8H6Cq9iTZCTxB706n67o7lQCuBW4DzqB3l5J3KknSCJoyHKrqGwy+XnDPCdbZBmwbUB8HLjiZAUqS5p/fkJYkNQwHSVLDcJAkNQwHSVLDcJAkNQwHSVLDcJAkNQwHSVLDcJAkNQwHSVLDcJAkNQwHSVLDcJAkNQwHSVLDcJAkNQwHSVLDcJAkNQwHSVLDcJAkNQwHSVLDcJAkNQwHSVLDcJAkNQwHSVLDcJAkNQwHSVLDcJAkNQwHSVJjynBIsjLJ15LsTbInyQe7+llJ7kvyZPe+tG+drUn2J9mX5PK++kVJdnfzbkiSU9OWJGk2pnPkcBT4cFX9LHAxcF2S84AtwP1VtQa4v/tMN28jcD6wHrgxyWndtm4CNgNrutf6OexFkjRHpgyHqjpUVY90088De4HlwAZge7fYduDKbnoDsKOqXqiqp4D9wLok5wJnVtUDVVXA7X3rSJJGyEldc0iyCngz8CBwTlUdgl6AAGd3iy0HnulbbaKrLe+mj68P2s/mJONJxo8cOXIyQ5QkzYFph0OSVwFfBD5UVT840aIDanWCelusurmq1lbV2rGxsekOUZI0R6YVDkleRi8YPl9Vd3bl57pTRXTvh7v6BLCyb/UVwMGuvmJAXZI0YqZzt1KAW4C9VfWpvlm7gE3d9Cbgrr76xiSnJ1lN78LzQ92pp+eTXNxt8+q+dSRJI2TJNJa5BHgfsDvJo13tI8D1wM4k1wBPA+8BqKo9SXYCT9C70+m6qnqxW+9a4DbgDODe7iVJGjFThkNVfYPB1wsALptknW3AtgH1ceCCkxmgJGn++Q1pSVLDcJAkNQwHSVLDcJAkNQwHSVLDcJAkNQwHSVLDcJAkNQwHSVLDcJAkNQwHSVLDcJAkNQwHSVLDcJAkNQwHSVJjOv/Zj6QRs2rL3UPZ74HrrxjKfjX/PHKQJDUMB0lSw3CQJDUMB0lSw3CQJDUMB0lSw3CQJDUMB0lSw3CQJDUMB0lSw3CQJDWmDIcktyY5nOTxvtrHkzyb5NHu9Y6+eVuT7E+yL8nlffWLkuzu5t2QJHPfjiRpLkznyOE2YP2A+qer6sLudQ9AkvOAjcD53To3JjmtW/4mYDOwpnsN2qYkaQRMGQ5V9XXg+9Pc3gZgR1W9UFVPAfuBdUnOBc6sqgeqqoDbgStnOmhJ0qk1m2sOH0jyWHfaaWlXWw4807fMRFdb3k0fX5ckjaCZhsNNwOuBC4FDwCe7+qDrCHWC+kBJNicZTzJ+5MiRGQ5RkjRTMwqHqnquql6sqh8BnwHWdbMmgJV9i64ADnb1FQPqk23/5qpaW1Vrx8bGZjJESdIszCgcumsIx7wbOHYn0y5gY5LTk6ymd+H5oao6BDyf5OLuLqWrgbtmMW5J0ik05X8TmuQO4FJgWZIJ4GPApUkupHdq6ADwfoCq2pNkJ/AEcBS4rqpe7DZ1Lb07n84A7u1eWiSG9d9WSjo1pgyHqrpqQPmWEyy/Ddg2oD4OXHBSo5MkDYXfkJYkNQwHSVLDcJAkNQwHSVLDcJAkNQwHSVLDcJAkNQwHSVLDcJAkNQwHSVLDcJAkNQwHSVLDcJAkNQwHSVLDcJAkNQwHSVLDcJAkNQwHSVLDcJAkNQwHSVLDcJAkNQwHSVLDcJAkNQwHSVLDcJAkNQwHSVLDcJAkNQwHSVJjynBIcmuSw0ke76udleS+JE9270v75m1Nsj/JviSX99UvSrK7m3dDksx9O5KkuTCdI4fbgPXH1bYA91fVGuD+7jNJzgM2Aud369yY5LRunZuAzcCa7nX8NiVJI2LKcKiqrwPfP668AdjeTW8Hruyr76iqF6rqKWA/sC7JucCZVfVAVRVwe986kqQRM9NrDudU1SGA7v3srr4ceKZvuYmutrybPr4uSRpBc31BetB1hDpBffBGks1JxpOMHzlyZM4GJ0manpmGw3PdqSK698NdfQJY2bfcCuBgV18xoD5QVd1cVWurau3Y2NgMhyhJmqmZhsMuYFM3vQm4q6++McnpSVbTu/D8UHfq6fkkF3d3KV3dt44kacQsmWqBJHcAlwLLkkwAHwOuB3YmuQZ4GngPQFXtSbITeAI4ClxXVS92m7qW3p1PZwD3di9J0giaMhyq6qpJZl02yfLbgG0D6uPABSc1OknSUPgNaUlSw3CQJDUMB0lSw3CQJDUMB0lSw3CQJDUMB0lSw3CQJDUMB0lSw3CQJDUMB0lSw3CQJDUMB0lSw3CQJDUMB0lSw3CQJDUMB0lSw3CQJDUMB0lSw3CQJDUMB0lSw3CQJDUMB0lSY8mwByBp4Vi15e6h7PfA9VcMZb8vZR45SJIahoMkqWE4SJIahoMkqTGrcEhyIMnuJI8mGe9qZyW5L8mT3fvSvuW3JtmfZF+Sy2c7eEnSqTEXRw5vraoLq2pt93kLcH9VrQHu7z6T5DxgI3A+sB64Mclpc7B/SdIcOxWnlTYA27vp7cCVffUdVfVCVT0F7AfWnYL9S5JmabbhUMBXkzycZHNXO6eqDgF072d39eXAM33rTnQ1SdKIme2X4C6pqoNJzgbuS/KdEyybAbUauGAvaDYDvO51r5vlEF9ahvUlJUmLy6yOHKrqYPd+GPgSvdNEzyU5F6B7P9wtPgGs7Ft9BXBwku3eXFVrq2rt2NjYbIYoSZqBGYdDklcmefWxaeDXgMeBXcCmbrFNwF3d9C5gY5LTk6wG1gAPzXT/kqRTZzanlc4BvpTk2Hb+uqq+kuRbwM4k1wBPA+8BqKo9SXYCTwBHgeuq6sVZjV6SdErMOByq6rvAmwbU/w24bJJ1tgHbZrpPSdL88BvSkqSG4SBJahgOkqSG4SBJahgOkqSG4SBJahgOkqSG4SBJahgOkqSG4SBJahgOkqSG4SBJahgOkqSG4SBJahgOkqSG4SBJahgOkqSG4SBJahgOkqSG4SBJahgOkqSG4SBJaiwZ9gAkaSqrttw9tH0fuP6Koe17mDxykCQ1PHI4BYb5W44kzQWPHCRJDcNBktQwHCRJjXkPhyTrk+xLsj/JlvnevyRpavMaDklOA/4ceDtwHnBVkvPmcwySpKnN991K64D9VfVdgCQ7gA3AE/M8DkmalmHdfTjs71fMdzgsB57p+zwB/Pyp2pm3lErSzMx3OGRArZqFks3A5u7jfybZ1zd7GfC9UzC2UbCYe4PF3Z+9LUwj21v+aNab+OnZrDzf4TABrOz7vAI4ePxCVXUzcPOgDSQZr6q1p2Z4w7WYe4PF3Z+9LUyLvbfZrD/fdyt9C1iTZHWSlwMbgV3zPAZJ0hTm9cihqo4m+QDwt8BpwK1VtWc+xyBJmtq8P1upqu4B7pnFJgaeblokFnNvsLj7s7eFyd4mkarmerAk6SXOx2dIkhojHw5JTkvyj0m+3H0+K8l9SZ7s3pcOe4wzleQ1Sb6Q5DtJ9ib5hcXSX5LfTrInyeNJ7kjy4wu1tyS3Jjmc5PG+2qS9JNnaPR5mX5LLhzPq6Zmktz/p/k4+luRLSV7TN29B99Y373eSVJJlfbUF0xtM3l+S3+x62JPkj/vqJ9XfyIcD8EFgb9/nLcD9VbUGuL/7vFD9GfCVqvoZ4E30+lzw/SVZDvwWsLaqLqB388FGFm5vtwHrj6sN7KV7HMxG4PxunRu7x8aMqttoe7sPuKCq3gj8E7AVFk1vJFkJ/CrwdF9tofUGA/pL8lZ6T514Y1WdD3yiq590fyMdDklWAFcAn+0rbwC2d9PbgSvne1xzIcmZwC8DtwBU1f9U1b+zSPqjd7PDGUmWAK+g932WBdlbVX0d+P5x5cl62QDsqKoXquopYD+9x8aMpEG9VdVXq+po9/Gb9L6PBIugt86ngd/j/38Bd0H1BpP2dy1wfVW90C1zuKufdH8jHQ7An9L7Q/xRX+2cqjoE0L2fPYyBzYGfAo4Af9mdNvtskleyCPqrqmfp/cbyNHAI+I+q+iqLoLc+k/Uy6BExy+d5bHPpN4B7u+kF31uSdwHPVtW3j5u14HvrvAH4pSQPJvmHJD/X1U+6v5ENhyTvBA5X1cPDHsspsgR4C3BTVb0Z+C8WzmmWE+rOv28AVgOvBV6Z5L3DHdW8mdYjYhaCJB8FjgKfP1YasNiC6S3JK4CPAn8waPaA2oLprc8SYClwMfC7wM4kYQb9jWw4AJcA70pyANgBvC3J54DnkpwL0L0fnnwTI20CmKiqB7vPX6AXFouhv18BnqqqI1X1Q+BO4BdZHL0dM1kv03pEzKhLsgl4J/Dr9X/3uy/03l5P7xeWb3c/V1YAjyT5SRZ+b8dMAHdWz0P0zrosYwb9jWw4VNXWqlpRVavoXUj5+6p6L73HbWzqFtsE3DWkIc5KVf0r8EySYw/Huozeo8sXQ39PAxcneUX3W8tl9C62L4bejpmsl13AxiSnJ1kNrAEeGsL4ZizJeuD3gXdV1X/3zVrQvVXV7qo6u6pWdT9XJoC3dP8WF3Rvff4GeBtAkjcAL6f3YMGT76+qRv4FXAp8uZv+CXp3hzzZvZ817PHNoq8LgXHgse4Pdeli6Q/4Q+A7wOPAXwGnL9TegDvoXTv5Ib0fKNecqBd6py7+GdgHvH3Y459Bb/vpnZ9+tHv9xWLp7bj5B4BlC7G3E/zZvRz4XPfv7hHgbTPtz29IS5IaI3taSZI0PIaDJKlhOEiSGoaDJKlhOEiSGoaDJKlhOEiSGoaDJKnxvyCHe78UBghBAAAAAElFTkSuQmCC\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"%matplotlib inline\n",
"plt.hist(x)\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"application/json": {
"cell": {
"!": "OSMagics",
"HTML": "Other",
"SVG": "Other",
"bash": "Other",
"capture": "ExecutionMagics",
"debug": "ExecutionMagics",
"file": "Other",
"html": "DisplayMagics",
"javascript": "DisplayMagics",
"js": "DisplayMagics",
"latex": "DisplayMagics",
"markdown": "DisplayMagics",
"perl": "Other",
"prun": "ExecutionMagics",
"pypy": "Other",
"python": "Other",
"python2": "Other",
"python3": "Other",
"ruby": "Other",
"script": "ScriptMagics",
"sh": "Other",
"svg": "DisplayMagics",
"sx": "OSMagics",
"system": "OSMagics",
"time": "ExecutionMagics",
"timeit": "ExecutionMagics",
"writefile": "OSMagics"
},
"line": {
"alias": "OSMagics",
"alias_magic": "BasicMagics",
"autoawait": "AsyncMagics",
"autocall": "AutoMagics",
"automagic": "AutoMagics",
"autosave": "KernelMagics",
"bookmark": "OSMagics",
"cat": "Other",
"cd": "OSMagics",
"clear": "KernelMagics",
"colors": "BasicMagics",
"conda": "PackagingMagics",
"config": "ConfigMagics",
"connect_info": "KernelMagics",
"cp": "Other",
"debug": "ExecutionMagics",
"dhist": "OSMagics",
"dirs": "OSMagics",
"doctest_mode": "BasicMagics",
"ed": "Other",
"edit": "KernelMagics",
"env": "OSMagics",
"gui": "BasicMagics",
"hist": "Other",
"history": "HistoryMagics",
"killbgscripts": "ScriptMagics",
"ldir": "Other",
"less": "KernelMagics",
"lf": "Other",
"lk": "Other",
"ll": "Other",
"load": "CodeMagics",
"load_ext": "ExtensionMagics",
"loadpy": "CodeMagics",
"logoff": "LoggingMagics",
"logon": "LoggingMagics",
"logstart": "LoggingMagics",
"logstate": "LoggingMagics",
"logstop": "LoggingMagics",
"ls": "Other",
"lsmagic": "BasicMagics",
"lx": "Other",
"macro": "ExecutionMagics",
"magic": "BasicMagics",
"man": "KernelMagics",
"matplotlib": "PylabMagics",
"mkdir": "Other",
"more": "KernelMagics",
"mv": "Other",
"notebook": "BasicMagics",
"page": "BasicMagics",
"pastebin": "CodeMagics",
"pdb": "ExecutionMagics",
"pdef": "NamespaceMagics",
"pdoc": "NamespaceMagics",
"pfile": "NamespaceMagics",
"pinfo": "NamespaceMagics",
"pinfo2": "NamespaceMagics",
"pip": "PackagingMagics",
"popd": "OSMagics",
"pprint": "BasicMagics",
"precision": "BasicMagics",
"prun": "ExecutionMagics",
"psearch": "NamespaceMagics",
"psource": "NamespaceMagics",
"pushd": "OSMagics",
"pwd": "OSMagics",
"pycat": "OSMagics",
"pylab": "PylabMagics",
"qtconsole": "KernelMagics",
"quickref": "BasicMagics",
"recall": "HistoryMagics",
"rehashx": "OSMagics",
"reload_ext": "ExtensionMagics",
"rep": "Other",
"rerun": "HistoryMagics",
"reset": "NamespaceMagics",
"reset_selective": "NamespaceMagics",
"rm": "Other",
"rmdir": "Other",
"run": "ExecutionMagics",
"save": "CodeMagics",
"sc": "OSMagics",
"set_env": "OSMagics",
"store": "StoreMagics",
"sx": "OSMagics",
"system": "OSMagics",
"tb": "ExecutionMagics",
"time": "ExecutionMagics",
"timeit": "ExecutionMagics",
"unalias": "OSMagics",
"unload_ext": "ExtensionMagics",
"who": "NamespaceMagics",
"who_ls": "NamespaceMagics",
"whos": "NamespaceMagics",
"xdel": "NamespaceMagics",
"xmode": "BasicMagics"
}
},
"text/plain": [
"Available line magics:\n",
"%alias %alias_magic %autoawait %autocall %automagic %autosave %bookmark %cat %cd %clear %colors %conda %config %connect_info %cp %debug %dhist %dirs %doctest_mode %ed %edit %env %gui %hist %history %killbgscripts %ldir %less %lf %lk %ll %load %load_ext %loadpy %logoff %logon %logstart %logstate %logstop %ls %lsmagic %lx %macro %magic %man %matplotlib %mkdir %more %mv %notebook %page %pastebin %pdb %pdef %pdoc %pfile %pinfo %pinfo2 %pip %popd %pprint %precision %prun %psearch %psource %pushd %pwd %pycat %pylab %qtconsole %quickref %recall %rehashx %reload_ext %rep %rerun %reset %reset_selective %rm %rmdir %run %save %sc %set_env %store %sx %system %tb %time %timeit %unalias %unload_ext %who %who_ls %whos %xdel %xmode\n",
"\n",
"Available cell magics:\n",
"%%! %%HTML %%SVG %%bash %%capture %%debug %%file %%html %%javascript %%js %%latex %%markdown %%perl %%prun %%pypy %%python %%python2 %%python3 %%ruby %%script %%sh %%svg %%sx %%system %%time %%timeit %%writefile\n",
"\n",
"Automagic is ON, % prefix IS NOT needed for line magics."
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"%lsmagic"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Utilisation d'autres langages"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The rpy2.ipython extension is already loaded. To reload it, use:\n",
" %reload_ext rpy2.ipython\n"
]
}
],
"source": [
"%load_ext rpy2.ipython"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"Error in plot[cars] : object of type 'closure' is not subsettable\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/opt/conda/lib/python3.6/site-packages/rpy2/rinterface/__init__.py:146: RRuntimeWarning: Error in plot[cars] : object of type 'closure' is not subsettable\n",
"\n",
" warnings.warn(x, RRuntimeWarning)\n"
]
}
],
"source": [
"%%R\n",
"plot[cars]"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n"
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"%%R\n",
"plot(cars)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"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": 4
}
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