{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# 介绍IPython和Jupyter笔记本" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "podoc": { "output_text": "Screenshot of a Jupyter notebook" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Hello world!\n" ] } ], "source": [ "print(\"Hello world!\")" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "4" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "2 + 2" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "12" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "_ * 3" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "1-numpy_tutorial_EN.ipynb\texample.png\r\n", "1-numpy_tutorial.ipynb\t\tmatplotlib_ani.ipynb\r\n", "2-matplotlib_tutorial_EN.ipynb\tmatplotlib_full.ipynb\r\n", "2-matplotlib_tutorial.ipynb\trandom-matrix.csv\r\n", "3-ipython_notebook_EN.ipynb\trandom-matrix.npy\r\n", "3-ipython_notebook.ipynb\tREADME.md\r\n", "4-scipy_tutorial_EN.ipynb\tstockholm_td_adj.dat\r\n", "4-scipy_tutorial.ipynb\t\tutils_git_advanced.ipynb\r\n", "5-sympy_tutorial_EN.ipynb\tutils_git.ipynb\r\n", "5-sympy_tutorial.ipynb\t\tutils_shell.ipynb\r\n", "bokeh_tutorial.ipynb\r\n" ] } ], "source": [ "!ls" ] }, { "cell_type": "code", "execution_count": 7, "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": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "%lsmagic" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Writing test.txt\n" ] } ], "source": [ "%%writefile test.txt\n", "Hello world!" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Hello world!\n", "\n" ] } ], "source": [ "# Let's check what this file contains.\n", "with open('test.txt', 'r') as f:\n", " print(f.read())" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "podoc": { "output_text": "Screenshot of the pager" } }, "outputs": [], "source": [ "%run?" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [], "source": [ "from IPython.display import HTML, SVG, YouTubeVideo" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "podoc": { "output_text": "" } }, "outputs": [ { "data": { "text/html": [ "\n", "\n", "\n", "
0,00,10,20,30,4
1,01,11,21,31,4
2,02,12,22,32,4
3,03,13,23,33,4
4,04,14,24,34,4
\n" ], "text/plain": [ "" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "HTML('''\n", "\n", "''' +\n", " ''.join(['' +\n", " ''.join([f''\n", " for col in range(5)]) +\n", " '' for row in range(5)]) +\n", " '''\n", "
{row},{col}
\n", "''')" ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "podoc": { "output_text": "" } }, "outputs": [ { "data": { "image/svg+xml": [ "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " " ], "text/plain": [ "" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "SVG('''''' +\n", " ''.join([f'''\n", " ''' for i in range(10)]) +\n", " '''''')" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "podoc": { "output_text": "" } }, "outputs": [], "source": [ "YouTubeVideo('VQBZ2MqWBZI')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "```json\n", "{\n", " \"cells\": [\n", " {\n", " \"cell_type\": \"code\",\n", " \"execution_count\": 1,\n", " \"metadata\": {},\n", " \"outputs\": [\n", " {\n", " \"name\": \"stdout\",\n", " \"output_type\": \"stream\",\n", " \"text\": [\n", " \"Hello world!\\n\"\n", " ]\n", " }\n", " ],\n", " \"source\": [\n", " \"print(\\\"Hello world!\\\")\"\n", " ]\n", " }\n", " ],\n", " \"metadata\": {},\n", " \"nbformat\": 4,\n", " \"nbformat_minor\": 2\n", "}\n", "```" ] } ], "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": "3.6.9" } }, "nbformat": 4, "nbformat_minor": 2 }