{ "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", "nu, sigma = 100, 15" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "x = np.random.normal(loc=nu, scale=sigma, size=10000)" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "import matplotlib.pyplot as plt" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "%matplotlib inline\n", "plt.hist(x)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Utilisation d'autres langages" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "%load_ext rpy2.ipython" ] }, { "cell_type": "code", "execution_count": 11, "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": 12, "metadata": {}, "outputs": [ { "data": { "application/json": { "cell": { "!": "OSMagics", "HTML": "Other", "R": "RMagics", "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": { "R": "RMagics", "Rdevice": "RMagics", "Rget": "RMagics", "Rpull": "RMagics", "Rpush": "RMagics", "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", "%R %Rdevice %Rget %Rpull %Rpush %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 %%R %%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": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "lsmagic" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "UsageError: %%R is a cell magic, but the cell body is empty. Did you mean the line magic %R (single %)?\n" ] } ], "source": [ "%%R" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [], "source": [ "%%R\n", "x = 210" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAeAAAAHgCAMAAABKCk6nAAACeVBMVEUAAAABAQECAgIDAwMEBAQFBQUGBgYHBwcICAgJCQkKCgoLCwsNDQ0ODg4PDw8QEBARERESEhITExMUFBQVFRUWFhYXFxcYGBgZGRkaGhobGxscHBwdHR0eHh4fHx8gICAhISEiIiIjIyMkJCQmJiYnJycoKCgqKiorKyssLCwtLS0uLi4vLy8wMDAyMjIzMzM0NDQ2NjY4ODg5OTk6Ojo7Ozs9PT0+Pj4/Pz9AQEBBQUFCQkJDQ0NERERFRUVGRkZHR0dJSUlLS0tMTExNTU1OTk5PT09QUFBSUlJTU1NUVFRVVVVWVlZXV1dYWFhZWVlaWlpbW1tcXFxeXl5fX19gYGBjY2NkZGRmZmZpaWlra2tsbGxtbW1vb29wcHBxcXFzc3N0dHR1dXV2dnZ3d3d4eHh6enp7e3t8fHx9fX1+fn5/f3+AgICDg4OEhISFhYWGhoaJiYmLi4uMjIyNjY2Ojo6Pj4+QkJCSkpKUlJSVlZWWlpaXl5eZmZmcnJyenp6fn5+goKChoaGjo6OkpKSlpaWoqKipqamqqqqrq6usrKytra2urq6vr6+wsLCxsbGzs7O0tLS2tra3t7e4uLi5ubm6urq7u7u8vLy9vb2/v7/BwcHCwsLDw8PExMTGxsbHx8fIyMjJycnKysrMzMzNzc3Ozs7Pz8/Q0NDR0dHS0tLT09PU1NTV1dXW1tbX19fY2NjZ2dna2trb29vc3Nzd3d3e3t7f39/g4ODh4eHj4+Pk5OTl5eXm5ubn5+fo6Ojp6enq6urr6+vs7Ozt7e3u7u7w8PDy8vLz8/P09PT39/f4+Pj5+fn6+vr7+/v8/Pz9/f3+/v7///87ZV1PAAAMGklEQVR4nO3cj3/VVR3H8SHKLUQY21rGFOa1TZlKGAICGxnlFM2kAgICU4gRWSxCMgtCMxqIqbDFUgE1wiFgMEcSPwa0uREb3LHzF/W9F2Lje0e785zv7uG91+vx8HvH92yfex736d29XzfMMSRdTrY3QNEGsHgAiweweACLB7B4AIsHsHgAiweweACLB7B4AIsHsHgAiweweACLB7B4AIsHsHgAiweweACLB7B4AIsHsHgAiweweACLB7B4AIsHsHgAiweweACLB7B4AIsHsHgAiweweACLB7B4AIsHsHgAiweweACLB7B4AIuXCXBnY0NTIvKdUCT1D9w8N1ZYXDByQdsg7Iac1z9wxcr24Hh2cWX0myH39Q+c25W6uZAX8U4okvoHLt2Vuqkvi3orFEX9A+/IK1+6YsmsgvpB2A05L4N30e01a6qqt52Lfi8UQVwmiWdxmdSyhTzotYuWwNe9TKqZt5Gy39SjlsDpl0mvVaSa8M1+v5aib6Et8HUvk5556nNuiVxmDXzdyySAvcga+LqXSQB7kT1wsu7T3WnnAPYia+DGijuXtZbdVLgnvACwF1kDz1j+/vxp6xOvPBheANiLrIFHd5m2nA7TnRteANiLrIGLDxnznDFNd4UXAPYia+BX8+qC41+/sj68ALAX2b+LPnIsODTUpp0H2IvcXCb1FcBeBLB4AIsHsHgAiweweACLB7B4AIsHsHgAiweweACLB7B4AIsHsHgAiweweACLB7B4AIsHsHgAiweweACLB7B4AIsHsHgAiweweACLB7B4AIsHsHgAiweweACLB7B4AIsHsHgAiweweACLB7B4AIsHsHgAiweweACLB7B4AIsHsHgAiweweACLB7B4AIsHsHgAiweweACLB7B4AIsHsHgAiweweACLB7B4AIsHsHgAiweweACLB7B4AIvnALizsaEpkX4aYC+yBm6eGyssLhi5oC28ALAXWQNXrGwPjmcXV4YXAPYia+DcrtTNhbzwAsBeZA1cuit1U18WXgDYi6yBd+SVL12xZFZBfXgBYC+yfxfdXrOmqnrbubTzAHuRm+vgky3p5wD2ImvgJ405fO+I4VOOhxcA9iJr4JgxM1YlOqrmXD3T+vdUTz9uvTmyzwVwQacxifyrZ975SarJj1hvjuxz8gz+xJijd4QX+BbtRdbAOfnx2xeZQ0VrwwsAe5E1cMfpIx98bE7Vpi0A7EXOflzYGj4BsBdZAx+eWfT0KZN6Lb42gL3IGnjq6g/XxpsA9jVr4FGXjKktOQ2wp1kDl+wJDpvLjgHsZ9bAr9+2NXksGhZeANiL7N9FnziZPH62KXweYC/ityrFA1g8gMUDWDyAxQNYPIDFA1g8gMUDWDyAxQNYPIDFA1g8gMUDWDyAxQNYPIDFA1g8gMUDWDyAxQNYPIDFA1g8gMUDWDyAxQNYPIDFA1g8gMUDWDyAxQNYPIDFA1g8gMUDWDyAxQNYPIDFA1g8gMUDWDyAxQNYPIDFA1g8gMUDWDyAxQNYPIDFA1g8gMUDWDyAxQNYPIDFA1g8gP9Px3e3ZnsL1mUG/NKl4HD+xwOafMMDdy+a+9Py32R7F7ZlBjx7ykGzfcLCAU2+4YH/UB0cnjiY7W1YluG36DdKpz24d2CTb3jg1EPzpw3Z3oZlGQLXTXxo+oGBTb7hgZd/EBxeqsn2NizLDPjbk/aZ7fFlA5p8wwMfrGg2H01tz/Y2LMsMeF1XcDj/7IAm3/DA5r3Kh+d/mu1N2MZlkngAiweweACLB7B4DoA7GxuaEumnAfYia+DmubHC4oKRC9rCCwB7kTVwxcrkfwo4u7gyvACwF1kD53albi7khRcA9iJr4NJdqZv6svACwF5kDbwjr3zpiiWzCurDCwB7kf276PaaNVXV286lnQfYi7hMEo/LJPG4TBIvgsuk/RtTlc+x2hi5KYLLpKYtqeY8arczchKXSeJxmSSesx8Xpv0dAIC9yBr48Myip08Ft7HwAsBeZA08dfWHa+NNAPuaNfCoS8bUlpwG2NOsgUv2BIfNZccA9jNr4Ndv25o8Fg0LLwDsRfbvok+cTB4/2xQ+D7AX8VuV4gEsHsDiASwewOIBLB7A4gEsHsDiASwewOIBLB7A4gEsHsDiASwewOIBLB7A4gEsHsDiASwewOIBLB7A4gEsHsDiASwewOIBLB7A4gEsHsDiASwewOIBLB7A4gEsHsDiASwewOIBLB7A4gEsHsDiASwewOIBLB7A4gEsHsDiASwewOIBLB7A4gEsHsDiASwewOIBLB7A4gEsHsDiASwewOIBLB7A4gEsHsDiASwewOIBLB7A4gEsHsDiOQDubGxoSqSfBtiLrIGb58YKiwtGLmgLLwDsRdbAFSvbg+PZxZXhBYC9yBo4tyt1cyEvvACwF1kDl+5K3dSXhRcA9iJr4B155UtXLJlVUB9eANiL7N9Ft9esqaredi7tPMBe5OY6+GRL+jmAvcga+EljDt87YviU4+EFgL3IGjhmzIxViY6qOeEFgL3IBXBBpzGJ/Ktn3nwy1Ve/Yb05ss/JM/gTY47ecfXMhbZUv3/Rdm/kIGvgnPz47YvMoaK14YWa337+XZGzrIE7Th/54GNzqjZtAWAvcvbjwjPhEwB7kTPgWPgEwF5kDdxyJYD9zBp42PDLpX0mwF5kDfzczy/f8gz2M2vgRGVD6hZgP3P2Jqs1fAJgL4rutyoB9iKAxQNYPIDFA1g8gMUDWDyAxQNYPIDFA1g8gMUDWDyAxQNYPIDFA1g8gMUDWDyAxQNYPIDFA1g8gMUDWDyAxQNYPIDFA1g8gMUDWDyAxQNYPIDFA1g8gMUDWDyAxQNYPIDFA1g8gMUDWDyAxQNYPIDFA1g8gMWLDrju/ore3TY2qkZFN/oLkU2+dXRUk3Pzr3ncS05FBRxqhrNJ4V7aEtno6Da98v2oJp/9zkA+G+CIAjjzAL4mgAcQwJkH8DUBnHkAX1O2gCucTQq3YVtko6PbdNXfoprc8t2BfLY74HPOJoXruBjZ6Og2fb47stED2rQ7YPIygMUDWDyAxQNYPIDFA1g8gMVzAFw7cewjp1MfHZ9x630N9gP7mFxzT7zinw4nm8TyYS3hO3E9+c3S0Q83Opzca7Qx7+Qczuhr7IHb899LrHoi9eG0X118eb71wD4mnxzzqXmh3N1kYyqfH94SuhPXk0+M3nNp1UyHk3tGG9P5QOFgAW95JHiUYp3BR58WXbKe1vfkdycac7DQ5ewGc+Wx6rkT15NPbDHmw3HuBvcabczzP7t3sIDXLA0OhclvRX+e+cPxszK72wFObi/c1/2L77ubnOzKY9VzJ64nJ1v7lMvBPaMbJ3YMGnDViuBQnHzpffmLb3e/UGY9sI/J5o835xY5fQ2++lj1uhPHk4Pqik+4HNwzela9GTTg6iXBoaApOLz+gDFdI1qtJ6ZPPjDhX2ZridsXgCuPVc+duJ5szOYSp3N7Rr/yPTN4wNumB2+CRiaCjxrGB8C3tFtPTJ/863nBYYTbZ8OVx6rnTlxPNm+UuXx33nv0Y/mFhTfnv5XJV9gDn8t/O7H4B8G/rmfMfZu6X5xsPbCPyTsntJqdeU4VLj9Wm8/8707cT24rOuZ0bK/RyQ8H7Rlsdt4z9lvB9+XC3ebopDFTj9gP7GNy9d13T37X4eTWWCwnFjuTHH3lTtxP3jQsFhTJ6OSfBg+YfA5g8QAWD2DxABYPYPEAFg9g8QAWD2DxABYPYPEAFg9g8QAWD2DxABYPYPEAFg9g8YYc8Ljdvf7QEM/aPgYrgMUbgsAN91fNLqkz5pdF968JgN8qu6v832bdo8bMVvw/nA9B4IM37TRbp5h/jGm+NC9uTo79yKx7zHRN+ssbX3f7d2P8aCgCjzZm/51mQ/CcrYubjbON+c8tF82+iaUHsr23KBqKwOOMCf6pnm/M3rhZe+v48ePHNBvz0LRsby2Shi7w7x4LXn/j5tXKy+e3T39we3Z3Fk1DF3j/mFOJx+PmzJcazd4fmfPxA3snnM/25iJo6AKb1V8uXT8heOqW3f213ebZZcYsfCbbm4ugIQc81AJYPIDFA1g8gMUDWDyAxQNYPIDFA1g8gMUDWDyAxQNYPIDFA1g8gMUDWDyAxfsvlYFqG3TLEREAAAAASUVORK5CYII=\n" }, "metadata": {}, "output_type": "display_data" } ], "source": [ "%%R\n", "plot(x)" ] }, { "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 }