Merge pull request #9344 from Carreau/iext

remove reference to install_ext

examples/IPython Kernel/Beyond Plain Python.ipynb

@@ -1,2523 +1,2522 b''
 {
  "cells": [
   {
    "cell_type": "markdown",
    "metadata": {
     "slideshow": {
      "slide_type": "slide"
     }
    },
    "source": [
     "# IPython: beyond plain Python"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "When executing code in IPython, all valid Python syntax works as-is, but IPython provides a number of features designed to make the interactive experience more fluid and efficient."
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {
     "slideshow": {
      "slide_type": "slide"
     }
    },
    "source": [
     "## First things first: running code, getting help"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "In the notebook, to run a cell of code, hit `Shift-Enter`. This executes the cell and puts the cursor in the next cell below, or makes a new one if you are at the end.  Alternately, you can use:\n",
     "    \n",
     "- `Alt-Enter` to force the creation of a new cell unconditionally (useful when inserting new content in the middle of an existing notebook).\n",
     "- `Control-Enter` executes the cell and keeps the cursor in the same cell, useful for quick experimentation of snippets that you don't need to keep permanently."
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 1,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "Hi\n"
      ]
     }
    ],
    "source": [
     "print(\"Hi\")"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {
     "slideshow": {
      "slide_type": "slide"
     }
    },
    "source": [
     "Getting help:"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 2,
    "metadata": {
     "collapsed": false
    },
    "outputs": [],
    "source": [
     "?"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {
     "slideshow": {
      "slide_type": "slide"
     }
    },
    "source": [
     "Typing `object_name?` will print all sorts of details about any object, including docstrings, function definition lines (for call arguments) and constructor details for classes."
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 3,
    "metadata": {
     "collapsed": false
    },
    "outputs": [],
    "source": [
     "import collections\n",
     "collections.namedtuple?"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 4,
    "metadata": {
     "collapsed": false
    },
    "outputs": [],
    "source": [
     "collections.Counter??"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 5,
    "metadata": {
     "collapsed": false
    },
    "outputs": [],
    "source": [
     "*int*?"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {
     "slideshow": {
      "slide_type": "slide"
     }
    },
    "source": [
     "An IPython quick reference card:"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 6,
    "metadata": {
     "collapsed": false
    },
    "outputs": [],
    "source": [
     "%quickref"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {
     "slideshow": {
      "slide_type": "slide"
     }
    },
    "source": [
     "## Tab completion"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "Tab completion, especially for attributes, is a convenient way to explore the structure of any object you’re dealing with. Simply type `object_name.<TAB>` to view the object’s attributes. Besides Python objects and keywords, tab completion also works on file and directory names."
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
     "collapsed": false
    },
    "outputs": [],
    "source": [
     "collections."
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {
     "slideshow": {
      "slide_type": "slide"
     }
    },
    "source": [
     "## The interactive workflow: input, output, history"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 7,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
        "12"
       ]
      },
      "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "2+10"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 8,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
        "22"
       ]
      },
      "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "_+10"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {
     "slideshow": {
      "slide_type": "slide"
     }
    },
    "source": [
     "You can suppress the storage and rendering of output if you append `;` to the last cell (this comes in handy when plotting with matplotlib, for example):"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 9,
    "metadata": {
     "collapsed": false
    },
    "outputs": [],
    "source": [
     "10+20;"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 10,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
        "22"
       ]
      },
      "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "_"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {
     "slideshow": {
      "slide_type": "slide"
     }
    },
    "source": [
     "The output is stored in `_N` and `Out[N]` variables:"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 11,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
        "True"
       ]
      },
      "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "_10 == Out[10]"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {
     "slideshow": {
      "slide_type": "slide"
     }
    },
    "source": [
     "And the last three have shorthands for convenience:"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 12,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "last output: True\n",
       "next one   : 22\n",
       "and next   : 22\n"
      ]
     }
    ],
    "source": [
     "from __future__ import print_function\n",
     "\n",
     "print('last output:', _)\n",
     "print('next one   :', __)\n",
     "print('and next   :', ___)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 13,
    "metadata": {
     "collapsed": false,
     "slideshow": {
      "slide_type": "-"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
        "'_10 == Out[10]'"
       ]
      },
      "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "In[11]"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 14,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
        "'In[11]'"
       ]
      },
      "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "_i"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 15,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
        "'In[11]'"
       ]
      },
      "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "_ii"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 16,
    "metadata": {
     "collapsed": false,
     "slideshow": {
      "slide_type": "subslide"
     }
    },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "last input: _ii\n",
       "next one  : _i\n",
       "and next  : In[11]\n"
      ]
     }
    ],
    "source": [
     "print('last input:', _i)\n",
     "print('next one  :', _ii)\n",
     "print('and next  :', _iii)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 17,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "   1: print(\"Hi\")\n",
       "   2: ?\n",
       "   3:\n",
       "import collections\n",
       "collections.namedtuple?\n",
       "   4: collections.Counter??\n",
       "   5: *int*?\n"
      ]
     }
    ],
    "source": [
     "%history -n 1-5"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {
     "slideshow": {
      "slide_type": "subslide"
     }
    },
    "source": [
     "**Exercise**\n",
     "\n",
     "Write the last 10 lines of history to a file named `log.py`."
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {
     "slideshow": {
      "slide_type": "slide"
     }
    },
    "source": [
     "## Accessing the underlying operating system"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 18,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "/Users/minrk/dev/ip/mine/examples/IPython Kernel\r\n"
      ]
     }
    ],
    "source": [
     "!pwd"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 19,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "My current directory's files:\n",
       "['Animations Using clear_output.ipynb', 'Background Jobs.ipynb', 'Beyond Plain Python.ipynb', 'Capturing Output.ipynb', 'Cell Magics.ipynb', 'Custom Display Logic.ipynb', 'Index.ipynb', 'Old Custom Display Logic.ipynb', 'Plotting in the Notebook.ipynb', 'Raw Input in the Notebook.ipynb', 'Rich Output.ipynb', 'Script Magics.ipynb', 'SymPy.ipynb', 'Terminal Usage.ipynb', 'Third Party Rich Output.ipynb', 'Trapezoid Rule.ipynb', 'Working With External Code.ipynb', '__pycache__', 'data', 'example-demo.py', 'gui', 'ipython-completion.bash', 'ipython-get-history.py', 'ipython-qtconsole.desktop', 'ipython.desktop', 'mod.py', 'test.txt']\n"
      ]
     }
    ],
    "source": [
     "files = !ls\n",
     "print(\"My current directory's files:\")\n",
     "print(files)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 20,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "[Animations Using clear_output.ipynb, Background Jobs.ipynb, Beyond Plain Python.ipynb, Capturing Output.ipynb, Cell Magics.ipynb, Custom Display Logic.ipynb, Index.ipynb, Old Custom Display Logic.ipynb, Plotting in the Notebook.ipynb, Raw Input in the Notebook.ipynb, Rich Output.ipynb, Script Magics.ipynb, SymPy.ipynb, Terminal Usage.ipynb, Third Party Rich Output.ipynb, Trapezoid Rule.ipynb, Working With External Code.ipynb, __pycache__, data, example-demo.py, gui, ipython-completion.bash, ipython-get-history.py, ipython-qtconsole.desktop, ipython.desktop, mod.py, test.txt]\r\n"
      ]
     }
    ],
    "source": [
     "!echo $files"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 21,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "ANIMATIONS USING CLEAR_OUTPUT.IPYNB\r\n"
      ]
     }
    ],
    "source": [
     "!echo {files[0].upper()}"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "Note that all this is available even in multiline blocks:"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 22,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "00 - Animations Using clear_output\n",
       "01 - Background Jobs\n",
       "02 - Beyond Plain Python\n",
       "03 - Capturing Output\n",
       "04 - Cell Magics\n",
       "05 - Custom Display Logic\n",
       "06 - Index\n",
       "07 - Old Custom Display Logic\n",
       "08 - Plotting in the Notebook\n",
       "09 - Raw Input in the Notebook\n",
       "10 - Rich Output\n",
       "11 - Script Magics\n",
       "12 - SymPy\n",
       "13 - Terminal Usage\n",
       "14 - Third Party Rich Output\n",
       "15 - Trapezoid Rule\n",
       "16 - Working With External Code\n",
       "--\n",
       "--\n",
       "--\n",
       "--\n",
       "--\n",
       "--\n",
       "--\n",
       "--\n",
       "--\n",
       "--\n"
      ]
     }
    ],
    "source": [
     "import os\n",
     "for i,f in enumerate(files):\n",
     "    if f.endswith('ipynb'):\n",
     "        !echo {\"%02d\" % i} - \"{os.path.splitext(f)[0]}\"\n",
     "    else:\n",
     "        print('--')"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "## Beyond Python: magic functions"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "The IPyhton 'magic' functions are a set of commands, invoked by prepending one or two `%` signs to their name, that live in a namespace separate from your normal Python variables and provide a more command-like interface.  They take flags with `--` and arguments without quotes, parentheses or commas. The motivation behind this system is two-fold:\n",
     "    \n",
     "- To provide an orthogonal namespace for controlling IPython itself and exposing other system-oriented functionality.\n",
     "\n",
     "- To expose a calling mode that requires minimal verbosity and typing while working interactively.  Thus the inspiration taken from the classic Unix shell style for commands."
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 23,
    "metadata": {
     "collapsed": false
    },
    "outputs": [],
    "source": [
     "%magic"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "Line vs cell magics:"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 24,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "10000 loops, best of 3: 19.3 µs per loop\n"
      ]
     }
    ],
    "source": [
     "%timeit list(range(1000))"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 25,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "100000 loops, best of 3: 2.78 µs per loop\n"
      ]
     }
    ],
    "source": [
     "%%timeit\n",
     "list(range(10))\n",
     "list(range(100))"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "Line magics can be used even inside code blocks:"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 26,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "size: 100 100000 loops, best of 3: 1.86 µs per loop\n",
       "size: 200 100000 loops, best of 3: 2.49 µs per loop\n",
       "size: 300 100000 loops, best of 3: 4.04 µs per loop\n",
       "size: 400 100000 loops, best of 3: 6.21 µs per loop\n"
      ]
     }
    ],
    "source": [
     "for i in range(1, 5):\n",
     "    size = i*100\n",
     "    print('size:', size, end=' ')\n",
     "    %timeit list(range(size))"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "Magics can do anything they want with their input, so it doesn't have to be valid Python:"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 27,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "My shell is: /usr/local/bin/bash\n",
       "My disk usage is:\n",
       "Filesystem      Size   Used  Avail Capacity  iused   ifree %iused  Mounted on\n",
       "/dev/disk1     233Gi  216Gi   16Gi    94% 56788108 4190706   93%   /\n",
       "devfs          190Ki  190Ki    0Bi   100%      656       0  100%   /dev\n",
       "map -hosts       0Bi    0Bi    0Bi   100%        0       0  100%   /net\n",
       "map auto_home    0Bi    0Bi    0Bi   100%        0       0  100%   /home\n"
      ]
     }
    ],
    "source": [
     "%%bash\n",
     "echo \"My shell is:\" $SHELL\n",
     "echo \"My disk usage is:\"\n",
     "df -h"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "Another interesting cell magic: create any file you want locally from the notebook:"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 28,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "Overwriting test.txt\n"
      ]
     }
    ],
    "source": [
     "%%writefile test.txt\n",
     "This is a test file!\n",
     "It can contain anything I want...\n",
     "\n",
     "And more..."
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 29,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "This is a test file!\r\n",
       "It can contain anything I want...\r\n",
       "\r\n",
       "And more..."
      ]
     }
    ],
    "source": [
     "!cat test.txt"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "Let's see what other magics are currently defined in the system:"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 30,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
       "application/json": {
        "cell": {
         "!": "OSMagics",
         "HTML": "Other",
         "SVG": "Other",
         "bash": "Other",
         "capture": "ExecutionMagics",
         "debug": "ExecutionMagics",
         "file": "Other",
         "html": "DisplayMagics",
         "javascript": "DisplayMagics",
         "latex": "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",
         "autocall": "AutoMagics",
         "automagic": "AutoMagics",
         "autosave": "KernelMagics",
         "bookmark": "OSMagics",
         "cat": "Other",
         "cd": "OSMagics",
         "clear": "KernelMagics",
         "colors": "BasicMagics",
         "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",
         "install_default_config": "DeprecatedMagics",
-        "install_ext": "ExtensionMagics",
         "install_profiles": "DeprecatedMagics",
         "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",
         "namespace": "Other",
         "notebook": "BasicMagics",
         "page": "BasicMagics",
         "pastebin": "CodeMagics",
         "pdb": "ExecutionMagics",
         "pdef": "NamespaceMagics",
         "pdoc": "NamespaceMagics",
         "pfile": "NamespaceMagics",
         "pinfo": "NamespaceMagics",
         "pinfo2": "NamespaceMagics",
         "popd": "OSMagics",
         "pprint": "BasicMagics",
         "precision": "BasicMagics",
         "profile": "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",
         "tic": "TimerMagics",
         "time": "ExecutionMagics",
         "timeit": "ExecutionMagics",
         "toc": "TimerMagics",
         "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  %autocall  %automagic  %autosave  %bookmark  %cat  %cd  %clear  %colors  %config  %connect_info  %cp  %debug  %dhist  %dirs  %doctest_mode  %ed  %edit  %env  %gui  %hist  %history  %install_default_config  %install_ext  %install_profiles  %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  %namespace  %notebook  %page  %pastebin  %pdb  %pdef  %pdoc  %pfile  %pinfo  %pinfo2  %popd  %pprint  %precision  %profile  %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  %tic  %time  %timeit  %toc  %unalias  %unload_ext  %who  %who_ls  %whos  %xdel  %xmode\n",
+       "%alias  %alias_magic  %autocall  %automagic  %autosave  %bookmark  %cat  %cd  %clear  %colors  %config  %connect_info  %cp  %debug  %dhist  %dirs  %doctest_mode  %ed  %edit  %env  %gui  %hist  %history  %install_default_config  %install_profiles  %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  %namespace  %notebook  %page  %pastebin  %pdb  %pdef  %pdoc  %pfile  %pinfo  %pinfo2  %popd  %pprint  %precision  %profile  %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  %tic  %time  %timeit  %toc  %unalias  %unload_ext  %who  %who_ls  %whos  %xdel  %xmode\n",
        "\n",
        "Available cell magics:\n",
        "%%!  %%HTML  %%SVG  %%bash  %%capture  %%debug  %%file  %%html  %%javascript  %%latex  %%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": 30,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "%lsmagic"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "## Running normal Python code: execution and errors"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "Not only can you input normal Python code, you can even paste straight from a Python or IPython shell session:"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 31,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "1\n",
       "1\n",
       "2\n",
       "3\n",
       "5\n",
       "8\n"
      ]
     }
    ],
    "source": [
     ">>> # Fibonacci series:\n",
     "... # the sum of two elements defines the next\n",
     "... a, b = 0, 1\n",
     ">>> while b < 10:\n",
     "...     print(b)\n",
     "...     a, b = b, a+b"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 32,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "0 1 2 3 4 5 6 7 8 9 "
      ]
     }
    ],
    "source": [
     "In [1]: for i in range(10):\n",
     "   ...:     print(i, end=' ')\n",
     "   ...:     "
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "And when your code produces errors, you can control how they are displayed with the `%xmode` magic:"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 33,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "Overwriting mod.py\n"
      ]
     }
    ],
    "source": [
     "%%writefile mod.py\n",
     "\n",
     "def f(x):\n",
     "    return 1.0/(x-1)\n",
     "\n",
     "def g(y):\n",
     "    return f(y+1)"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "Now let's call the function `g` with an argument that would produce an error:"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 34,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "ename": "ZeroDivisionError",
      "evalue": "float division by zero",
      "output_type": "error",
      "traceback": [
       "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
       "\u001b[1;31mZeroDivisionError\u001b[0m                         Traceback (most recent call last)",
       "\u001b[1;32m<ipython-input-40-a54c5799f57e>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mmod\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0mmod\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mg\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
       "\u001b[1;32m/Users/minrk/dev/ip/mine/examples/IPython Kernel/mod.py\u001b[0m in \u001b[0;36mg\u001b[1;34m(y)\u001b[0m\n\u001b[0;32m      4\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      5\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mg\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 6\u001b[1;33m     \u001b[1;32mreturn\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m+\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
       "\u001b[1;32m/Users/minrk/dev/ip/mine/examples/IPython Kernel/mod.py\u001b[0m in \u001b[0;36mf\u001b[1;34m(x)\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      2\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m     \u001b[1;32mreturn\u001b[0m \u001b[1;36m1.0\u001b[0m\u001b[1;33m/\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m-\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      4\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      5\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mg\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
       "\u001b[1;31mZeroDivisionError\u001b[0m: float division by zero"
      ]
     }
    ],
    "source": [
     "import mod\n",
     "mod.g(0)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 35,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "Exception reporting mode: Plain\n"
      ]
     },
     {
      "ename": "ZeroDivisionError",
      "evalue": "float division by zero",
      "output_type": "error",
      "traceback": [
       "Traceback \u001b[1;36m(most recent call last)\u001b[0m:\n",
       "  File \u001b[0;32m\"<ipython-input-41-8932f4bf53fa>\"\u001b[0m, line \u001b[0;32m2\u001b[0m, in \u001b[0;35m<module>\u001b[0m\n    mod.g(0)\n",
       "  File \u001b[0;32m\"/Users/minrk/dev/ip/mine/examples/IPython Kernel/mod.py\"\u001b[0m, line \u001b[0;32m6\u001b[0m, in \u001b[0;35mg\u001b[0m\n    return f(y+1)\n",
       "\u001b[1;36m  File \u001b[1;32m\"/Users/minrk/dev/ip/mine/examples/IPython Kernel/mod.py\"\u001b[1;36m, line \u001b[1;32m3\u001b[1;36m, in \u001b[1;35mf\u001b[1;36m\u001b[0m\n\u001b[1;33m    return 1.0/(x-1)\u001b[0m\n",
       "\u001b[1;31mZeroDivisionError\u001b[0m\u001b[1;31m:\u001b[0m float division by zero\n"
      ]
     }
    ],
    "source": [
     "%xmode plain\n",
     "mod.g(0)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 36,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "Exception reporting mode: Verbose\n"
      ]
     },
     {
      "ename": "ZeroDivisionError",
      "evalue": "float division by zero",
      "output_type": "error",
      "traceback": [
       "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
       "\u001b[1;31mZeroDivisionError\u001b[0m                         Traceback (most recent call last)",
       "\u001b[1;32m<ipython-input-42-539f73e80e01>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[0mget_ipython\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmagic\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'xmode verbose'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0mmod\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mg\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m        \u001b[1;36mglobal\u001b[0m \u001b[0;36mmod.g\u001b[0m \u001b[1;34m= <function g at 0x105887d08>\u001b[0m\n",
       "\u001b[1;32m/Users/minrk/dev/ip/mine/examples/IPython Kernel/mod.py\u001b[0m in \u001b[0;36mg\u001b[1;34m(y=0)\u001b[0m\n\u001b[0;32m      4\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      5\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mg\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 6\u001b[1;33m     \u001b[1;32mreturn\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m+\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m        \u001b[1;36mglobal\u001b[0m \u001b[0;36mf\u001b[0m \u001b[1;34m= <function f at 0x105887d90>\u001b[0m\u001b[1;34m\n        \u001b[0m\u001b[0;36my\u001b[0m \u001b[1;34m= 0\u001b[0m\n",
       "\u001b[1;32m/Users/minrk/dev/ip/mine/examples/IPython Kernel/mod.py\u001b[0m in \u001b[0;36mf\u001b[1;34m(x=1)\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      2\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m     \u001b[1;32mreturn\u001b[0m \u001b[1;36m1.0\u001b[0m\u001b[1;33m/\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m-\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m        \u001b[0;36mx\u001b[0m \u001b[1;34m= 1\u001b[0m\n\u001b[0;32m      4\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      5\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mg\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
       "\u001b[1;31mZeroDivisionError\u001b[0m: float division by zero"
      ]
     }
    ],
    "source": [
     "%xmode verbose\n",
     "mod.g(0)"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "The default `%xmode` is \"context\", which shows additional context but not all local variables.  Let's restore that one for the rest of our session."
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 37,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "Exception reporting mode: Context\n"
      ]
     }
    ],
    "source": [
     "%xmode context"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "## Running code in other languages with special `%%` magics"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 38,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "July"
      ]
     }
    ],
    "source": [
     "%%perl\n",
     "@months = (\"July\", \"August\", \"September\");\n",
     "print $months[0];"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 39,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "Hello World!\n"
      ]
     }
    ],
    "source": [
     "%%ruby\n",
     "name = \"world\"\n",
     "puts \"Hello #{name.capitalize}!\""
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "## Raw Input in the notebook"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "Since 1.0 the IPython notebook web application support `raw_input` which for example allow us to invoke the `%debug` magic in the notebook:"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 40,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "ename": "ZeroDivisionError",
      "evalue": "float division by zero",
      "output_type": "error",
      "traceback": [
       "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
       "\u001b[1;31mZeroDivisionError\u001b[0m                         Traceback (most recent call last)",
       "\u001b[1;32m<ipython-input-46-5e708f13c839>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mmod\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mg\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
       "\u001b[1;32m/Users/minrk/dev/ip/mine/examples/IPython Kernel/mod.py\u001b[0m in \u001b[0;36mg\u001b[1;34m(y)\u001b[0m\n\u001b[0;32m      4\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      5\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mg\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 6\u001b[1;33m     \u001b[1;32mreturn\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m+\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
       "\u001b[1;32m/Users/minrk/dev/ip/mine/examples/IPython Kernel/mod.py\u001b[0m in \u001b[0;36mf\u001b[1;34m(x)\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      2\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m     \u001b[1;32mreturn\u001b[0m \u001b[1;36m1.0\u001b[0m\u001b[1;33m/\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m-\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      4\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      5\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mg\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
       "\u001b[1;31mZeroDivisionError\u001b[0m: float division by zero"
      ]
     }
    ],
    "source": [
     "mod.g(0)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 41,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "> \u001b[1;32m/Users/minrk/dev/ip/mine/examples/IPython Kernel/mod.py\u001b[0m(3)\u001b[0;36mf\u001b[1;34m()\u001b[0m\n",
       "\u001b[1;32m      2 \u001b[1;33m\u001b[1;32mdef\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
       "\u001b[0m\u001b[1;32m----> 3 \u001b[1;33m    \u001b[1;32mreturn\u001b[0m \u001b[1;36m1.0\u001b[0m\u001b[1;33m/\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m-\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
       "\u001b[0m\u001b[1;32m      4 \u001b[1;33m\u001b[1;33m\u001b[0m\u001b[0m\n",
       "\u001b[0m\n",
       "ipdb> up\n",
       "> \u001b[1;32m/Users/minrk/dev/ip/mine/examples/IPython Kernel/mod.py\u001b[0m(6)\u001b[0;36mg\u001b[1;34m()\u001b[0m\n",
       "\u001b[1;32m      4 \u001b[1;33m\u001b[1;33m\u001b[0m\u001b[0m\n",
       "\u001b[0m\u001b[1;32m      5 \u001b[1;33m\u001b[1;32mdef\u001b[0m \u001b[0mg\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
       "\u001b[0m\u001b[1;32m----> 6 \u001b[1;33m    \u001b[1;32mreturn\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m+\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
       "\u001b[0m\n",
       "ipdb> down\n",
       "> \u001b[1;32m/Users/minrk/dev/ip/mine/examples/IPython Kernel/mod.py\u001b[0m(3)\u001b[0;36mf\u001b[1;34m()\u001b[0m\n",
       "\u001b[1;32m      2 \u001b[1;33m\u001b[1;32mdef\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
       "\u001b[0m\u001b[1;32m----> 3 \u001b[1;33m    \u001b[1;32mreturn\u001b[0m \u001b[1;36m1.0\u001b[0m\u001b[1;33m/\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m-\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
       "\u001b[0m\u001b[1;32m      4 \u001b[1;33m\u001b[1;33m\u001b[0m\u001b[0m\n",
       "\u001b[0m\n",
       "ipdb> bt\n",
       "  \u001b[1;32m<ipython-input-46-5e708f13c839>\u001b[0m(1)\u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n",
       "\u001b[1;32m----> 1 \u001b[1;33m\u001b[0mmod\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mg\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
       "\u001b[0m\n",
       "  \u001b[1;32m/Users/minrk/dev/ip/mine/examples/IPython Kernel/mod.py\u001b[0m(6)\u001b[0;36mg\u001b[1;34m()\u001b[0m\n",
       "\u001b[0;32m      2 \u001b[0m\u001b[1;32mdef\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
       "\u001b[0;32m      3 \u001b[0m    \u001b[1;32mreturn\u001b[0m \u001b[1;36m1.0\u001b[0m\u001b[1;33m/\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m-\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
       "\u001b[0;32m      4 \u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
       "\u001b[0;32m      5 \u001b[0m\u001b[1;32mdef\u001b[0m \u001b[0mg\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
       "\u001b[1;32m----> 6 \u001b[1;33m    \u001b[1;32mreturn\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m+\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
       "\u001b[0m\n",
       "> \u001b[1;32m/Users/minrk/dev/ip/mine/examples/IPython Kernel/mod.py\u001b[0m(3)\u001b[0;36mf\u001b[1;34m()\u001b[0m\n",
       "\u001b[1;32m      1 \u001b[1;33m\u001b[1;33m\u001b[0m\u001b[0m\n",
       "\u001b[0m\u001b[1;32m      2 \u001b[1;33m\u001b[1;32mdef\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
       "\u001b[0m\u001b[1;32m----> 3 \u001b[1;33m    \u001b[1;32mreturn\u001b[0m \u001b[1;36m1.0\u001b[0m\u001b[1;33m/\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m-\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
       "\u001b[0m\u001b[1;32m      4 \u001b[1;33m\u001b[1;33m\u001b[0m\u001b[0m\n",
       "\u001b[0m\u001b[1;32m      5 \u001b[1;33m\u001b[1;32mdef\u001b[0m \u001b[0mg\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
       "\u001b[0m\n",
       "ipdb> exit\n"
      ]
     }
    ],
    "source": [
     "%debug"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "Don't foget to exit your debugging session. Raw input can of course be use to ask for user input:"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 42,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "Are you enjoying this tutorial? yes\n",
       "enjoy is: yes\n"
      ]
     }
    ],
    "source": [
     "enjoy = input('Are you enjoying this tutorial? ')\n",
     "print('enjoy is:', enjoy)"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "## Plotting in the notebook"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "This magic configures matplotlib to render its figures inline:"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 43,
    "metadata": {
     "collapsed": false
    },
    "outputs": [],
    "source": [
     "%matplotlib inline"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 44,
    "metadata": {
     "collapsed": false
    },
    "outputs": [],
    "source": [
     "import numpy as np\n",
     "import matplotlib.pyplot as plt"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 45,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
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        "gUJ07DcuELgAAAAASUVORK5CYII=\n"
       ],
       "text/plain": [
        "<matplotlib.figure.Figure at 0x106c2a9b0>"
       ]
      },
      "metadata": {
       "image/png": {
        "height": 392,
        "width": 599
       }
      },
      "output_type": "display_data"
     }
    ],
    "source": [
     "x = np.linspace(0, 2*np.pi, 300)\n",
     "y = np.sin(x**2)\n",
     "plt.plot(x, y)\n",
     "plt.title(\"A little chirp\")\n",
     "fig = plt.gcf()  # let's keep the figure object around for later..."
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "## The IPython kernel/client model"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 46,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "{\n",
       "  \"stdin_port\": 62401,\n",
       "  \"key\": \"64c935a7-64e8-4ab7-ab22-6e0f3ff84e02\",\n",
       "  \"hb_port\": 62403,\n",
       "  \"transport\": \"tcp\",\n",
       "  \"signature_scheme\": \"hmac-sha256\",\n",
       "  \"shell_port\": 62399,\n",
       "  \"control_port\": 62402,\n",
       "  \"ip\": \"127.0.0.1\",\n",
       "  \"iopub_port\": 62400\n",
       "}\n",
       "\n",
       "Paste the above JSON into a file, and connect with:\n",
       "    $> ipython <app> --existing <file>\n",
       "or, if you are local, you can connect with just:\n",
       "    $> ipython <app> --existing kernel-25383540-ce7f-4529-900a-ded0e510d5d8.json \n",
       "or even just:\n",
       "    $> ipython <app> --existing \n",
       "if this is the most recent IPython session you have started.\n"
      ]
     }
    ],
    "source": [
     "%connect_info"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "We can connect automatically a Qt Console to the currently running kernel with the `%qtconsole` magic, or by typing `ipython console --existing <kernel-UUID>` in any terminal:"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 47,
    "metadata": {
     "collapsed": false
    },
    "outputs": [],
    "source": [
     "%qtconsole"
    ]
   }
  ],
  "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": "3.4.2"
   }
  },
  "nbformat": 4,
  "nbformat_minor": 0
 }

examples/IPython Kernel/Cell Magics.ipynb

@@ -1,689 +1,688 b''
 {
  "cells": [
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "# Cell Magics in IPython"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "IPython has a system of commands we call 'magics' that provide a mini command language that is orthogonal to the syntax of Python and is extensible by the user with new commands.  Magics are meant to be typed interactively, so they use command-line conventions, such as using whitespace for separating arguments, dashes for options and other conventions typical of a command-line environment.\n",
     "\n",
     "Magics come in two kinds:\n",
     "\n",
     "* Line magics: these are commands prepended by one `%` character and whose arguments only extend to the end of the current line.\n",
     "* Cell magics: these use *two* percent characters as a marker (`%%`), and they receive as argument *both* the current line where they are declared and the whole body of the cell.  Note that cell magics can *only* be used as the first line in a cell, and as a general principle they can't be 'stacked' (i.e. you can only use one cell magic per cell).  A few of them, because of how they operate, can be stacked, but that is something you will discover on a case by case basis.\n",
     "\n",
     "The `%lsmagic` magic is used to list all available magics, and it will show both line and cell magics currently defined:"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 1,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
       "application/json": {
        "cell": {
         "!": "OSMagics",
         "HTML": "Other",
         "SVG": "Other",
         "bash": "Other",
         "capture": "ExecutionMagics",
         "debug": "ExecutionMagics",
         "file": "Other",
         "html": "DisplayMagics",
         "javascript": "DisplayMagics",
         "latex": "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",
         "autocall": "AutoMagics",
         "automagic": "AutoMagics",
         "autosave": "KernelMagics",
         "bookmark": "OSMagics",
         "cat": "Other",
         "cd": "OSMagics",
         "clear": "KernelMagics",
         "colors": "BasicMagics",
         "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",
         "install_default_config": "DeprecatedMagics",
-        "install_ext": "ExtensionMagics",
         "install_profiles": "DeprecatedMagics",
         "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",
         "popd": "OSMagics",
         "pprint": "BasicMagics",
         "precision": "BasicMagics",
         "profile": "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  %autocall  %automagic  %autosave  %bookmark  %cat  %cd  %clear  %colors  %config  %connect_info  %cp  %debug  %dhist  %dirs  %doctest_mode  %ed  %edit  %env  %gui  %hist  %history  %install_default_config  %install_ext  %install_profiles  %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  %popd  %pprint  %precision  %profile  %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",
+       "%alias  %alias_magic  %autocall  %automagic  %autosave  %bookmark  %cat  %cd  %clear  %colors  %config  %connect_info  %cp  %debug  %dhist  %dirs  %doctest_mode  %ed  %edit  %env  %gui  %hist  %history  %install_default_config  %install_profiles  %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  %popd  %pprint  %precision  %profile  %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  %%latex  %%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": 1,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "%lsmagic"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "Since in the introductory section we already covered the most frequently used line magics, we will focus here on the cell magics, which offer a great amount of power.\n",
     "\n",
     "Let's load matplotlib and numpy so we can use numerics/plotting at will later on."
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 2,
    "metadata": {
     "collapsed": false
    },
    "outputs": [],
    "source": [
     "%matplotlib inline\n",
     "import numpy as np\n",
     "import matplotlib.pyplot as plt"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "## <!--====--> Some simple cell magics"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "Timing the execution of code; the 'timeit' magic exists both in line and cell form:"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 3,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "100 loops, best of 3: 7.06 ms per loop\n"
      ]
     }
    ],
    "source": [
     "%timeit np.linalg.eigvals(np.random.rand(100,100))"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 4,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "100 loops, best of 3: 7.4 ms per loop\n"
      ]
     }
    ],
    "source": [
     "%%timeit a = np.random.rand(100, 100)\n",
     "np.linalg.eigvals(a)"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "The `%%capture` magic can be used to capture the stdout/err of any block of python code, either to discard it (if it's noise to you) or to store it in a variable for later use:"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 5,
    "metadata": {
     "collapsed": false
    },
    "outputs": [],
    "source": [
     "%%capture capt\n",
     "from __future__ import print_function\n",
     "import sys\n",
     "print('Hello stdout')\n",
     "print('and stderr', file=sys.stderr)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 6,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
        "('Hello stdout\\n', 'and stderr\\n')"
       ]
      },
      "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "capt.stdout, capt.stderr"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 7,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "Hello stdout\n"
      ]
     },
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
       "and stderr\n"
      ]
     }
    ],
    "source": [
     "capt.show()"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "The `%%writefile` magic is a very useful tool that writes the cell contents as a named file:"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 8,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "Writing foo.py\n"
      ]
     }
    ],
    "source": [
     "%%writefile foo.py\n",
     "print('Hello world')"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 9,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "Hello world\n"
      ]
     }
    ],
    "source": [
     "%run foo"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "## <!--====--> Magics for running code under other interpreters"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "IPython has a `%%script` cell magic, which lets you run a cell in\n",
     "a subprocess of any interpreter on your system, such as: bash, ruby, perl, zsh, R, etc.\n",
     "\n",
     "It can even be a script of your own, which expects input on stdin."
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "To use it, simply pass a path or shell command to the program you want to run on the `%%script` line,\n",
     "and the rest of the cell will be run by that script, and stdout/err from the subprocess are captured and displayed."
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 10,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "hello from Python 2.7.9 (default, Jan 29 2015, 06:27:40) \n",
       "[GCC 4.2.1 Compatible Apple LLVM 6.0 (clang-600.0.56)]\n"
      ]
     }
    ],
    "source": [
     "%%script python2\n",
     "import sys\n",
     "print 'hello from Python %s' % sys.version"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 11,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "hello from Python: 3.4.2 |Continuum Analytics, Inc.| (default, Oct 21 2014, 17:42:20) \n",
       "[GCC 4.2.1 (Apple Inc. build 5577)]\n"
      ]
     }
    ],
    "source": [
     "%%script python3\n",
     "import sys\n",
     "print('hello from Python: %s' % sys.version)"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "IPython also creates aliases for a few common interpreters, such as bash, ruby, perl, etc.\n",
     "\n",
     "These are all equivalent to `%%script <name>`"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 12,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "Hello from Ruby 2.0.0\n"
      ]
     }
    ],
    "source": [
     "%%ruby\n",
     "puts \"Hello from Ruby #{RUBY_VERSION}\""
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 13,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "hello from /usr/local/bin/bash\n"
      ]
     }
    ],
    "source": [
     "%%bash\n",
     "echo \"hello from $BASH\""
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "## Capturing output"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "You can also capture stdout/err from these subprocesses into Python variables, instead of letting them go directly to stdout/err"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 14,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "hi, stdout\n"
      ]
     },
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
       "hello, stderr\n"
      ]
     }
    ],
    "source": [
     "%%bash\n",
     "echo \"hi, stdout\"\n",
     "echo \"hello, stderr\" >&2\n"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 15,
    "metadata": {
     "collapsed": false
    },
    "outputs": [],
    "source": [
     "%%bash --out output --err error\n",
     "echo \"hi, stdout\"\n",
     "echo \"hello, stderr\" >&2"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 16,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "hello, stderr\n",
       "\n",
       "hi, stdout\n",
       "\n"
      ]
     }
    ],
    "source": [
     "print(error)\n",
     "print(output)"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "## Background Scripts"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "These scripts can be run in the background, by adding the `--bg` flag.\n",
     "\n",
     "When you do this, output is discarded unless you use the `--out/err`\n",
     "flags to store output as above."
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 17,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "Starting job # 0 in a separate thread.\n"
      ]
     }
    ],
    "source": [
     "%%ruby --bg --out ruby_lines\n",
     "for n in 1...10\n",
     "    sleep 1\n",
     "    puts \"line #{n}\"\n",
     "    STDOUT.flush\n",
     "end"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "When you do store output of a background thread, these are the stdout/err *pipes*,\n",
     "rather than the text of the output."
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 18,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
        "<_io.BufferedReader name=52>"
       ]
      },
      "execution_count": 18,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "ruby_lines"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 19,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "line 1\n",
       "line 2\n",
       "line 3\n",
       "line 4\n",
       "line 5\n",
       "line 6\n",
       "line 7\n",
       "line 8\n",
       "line 9\n",
       "\n"
      ]
     }
    ],
    "source": [
     "print(ruby_lines.read().decode('utf8'))"
    ]
   }
  ],
  "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": "3.4.2"
   }
  },
  "nbformat": 4,
  "nbformat_minor": 0
 }