examples/IPython Kernel/Beyond Plain Python.ipynb

{
 "metadata": {
  "name": "",
  "signature": "sha256:31071a05d0ecd75ed72fe3f0de0ad447a6f85cffe382c26efa5e68db1fee54ee"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "heading",
     "level": 1,
     "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": "heading",
     "level": 2,
     "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",
     "collapsed": false,
     "input": [
      "print \"Hi\""
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Hi\n"
       ]
      }
     ],
     "prompt_number": 1
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "Getting help:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "?"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 2
    },
    {
     "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",
     "collapsed": false,
     "input": [
      "import collections\n",
      "collections.namedtuple?"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 3
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "collections.Counter??"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 4
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "*int*?"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 5
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "An IPython quick reference card:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%quickref"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 6
    },
    {
     "cell_type": "heading",
     "level": 2,
     "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\u2019re dealing with. Simply type `object_name.<TAB>` to view the object\u2019s attributes. Besides Python objects and keywords, tab completion also works on file and directory names."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "collections."
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 8
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "The interactive workflow: input, output, history"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "2+10"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 7,
       "text": [
        "12"
       ]
      }
     ],
     "prompt_number": 7
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "_+10"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 8,
       "text": [
        "22"
       ]
      }
     ],
     "prompt_number": 8
    },
    {
     "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",
     "collapsed": false,
     "input": [
      "10+20;"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 9
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "_"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 10,
       "text": [
        "22"
       ]
      }
     ],
     "prompt_number": 10
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "The output is stored in `_N` and `Out[N]` variables:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "_10 == Out[10]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 11,
       "text": [
        "True"
       ]
      }
     ],
     "prompt_number": 11
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "And the last three have shorthands for convenience:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "print 'last output:', _\n",
      "print 'next one   :', __\n",
      "print 'and next   :', ___"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "last output: True\n",
        "next one   : 22\n",
        "and next   : 22\n"
       ]
      }
     ],
     "prompt_number": 12
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "In[11]"
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "-"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 13,
       "text": [
        "u'_10 == Out[10]'"
       ]
      }
     ],
     "prompt_number": 13
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "_i"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 14,
       "text": [
        "u'In[11]'"
       ]
      }
     ],
     "prompt_number": 14
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "_ii"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 15,
       "text": [
        "u'In[11]'"
       ]
      }
     ],
     "prompt_number": 15
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "print 'last input:', _i\n",
      "print 'next one  :', _ii\n",
      "print 'and next  :', _iii"
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "last input: _ii\n",
        "next one  : _i\n",
        "and next  : In[11]\n"
       ]
      }
     ],
     "prompt_number": 16
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%history -n 1-5"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "   1: print \"Hi\"\n",
        "   2: ?\n",
        "   3:\n",
        "import collections\n",
        "collections.namedtuple?\n",
        "   4: collections.Counter??\n",
        "   5: *int*?\n"
       ]
      }
     ],
     "prompt_number": 17
    },
    {
     "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": "heading",
     "level": 2,
     "metadata": {
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "Accessing the underlying operating system"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "!pwd"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "/home/fperez/ipython/tutorial/notebooks\r\n"
       ]
      }
     ],
     "prompt_number": 18
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "files = !ls\n",
      "print \"My current directory's files:\"\n",
      "print files"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "My current directory's files:\n",
        "['BackgroundJobs.ipynb', 'Custom Display Logic.ipynb', 'Customizing IPython - Condensed.ipynb', 'Customizing IPython - Config.ipynb', 'Customizing IPython - Extensions.ipynb', 'Customizing IPython - Magics.ipynb', 'data', 'figs', 'flare.json', 'Index.ipynb', 'Interactive Widgets.ipynb', 'IPython - beyond plain Python.ipynb', 'kernel-embedding', 'Markdown Cells.ipynb', 'myscript.py', 'nbconvert_arch.png', 'NbConvert from command line.ipynb', 'NbConvert Python library.ipynb', 'Notebook and javascript extension.ipynb', 'Notebook Basics.ipynb', 'Overview of IPython.parallel.ipynb', 'parallel', 'Rich Display System.ipynb', 'Running a Secure Public Notebook.ipynb', 'Running Code.ipynb', 'Sample.ipynb', 'soln', 'Terminal usage.ipynb', 'text_analysis.py', 'Typesetting Math Using MathJax.ipynb']\n"
       ]
      }
     ],
     "prompt_number": 19
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "!echo $files"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "[BackgroundJobs.ipynb, Custom Display Logic.ipynb, Customizing IPython - Condensed.ipynb, Customizing IPython - Config.ipynb, Customizing IPython - Extensions.ipynb, Customizing IPython - Magics.ipynb, data, figs, flare.json, Index.ipynb, Interactive Widgets.ipynb, IPython - beyond plain Python.ipynb, kernel-embedding, Markdown Cells.ipynb, myscript.py, nbconvert_arch.png, NbConvert from command line.ipynb, NbConvert Python library.ipynb, Notebook and javascript extension.ipynb, Notebook Basics.ipynb, Overview of IPython.parallel.ipynb, parallel, Rich Display System.ipynb, Running a Secure Public Notebook.ipynb, Running Code.ipynb, Sample.ipynb, soln, Terminal usage.ipynb, text_analysis.py, Typesetting Math Using MathJax.ipynb]\r\n"
       ]
      }
     ],
     "prompt_number": 20
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "!echo {files[0].upper()}"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "BACKGROUNDJOBS.IPYNB\r\n"
       ]
      }
     ],
     "prompt_number": 21
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Note that all this is available even in multiline blocks:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "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 '--'"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "00 - BackgroundJobs\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "01 - Custom Display Logic\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "02 - Customizing IPython - Condensed\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "03 - Customizing IPython - Config\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "04 - Customizing IPython - Extensions\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "05 - Customizing IPython - Magics\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "--\n",
        "--\n",
        "--\n",
        "09 - Index\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "10 - Interactive Widgets\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "11 - IPython - beyond plain Python\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "--\n",
        "13 - Markdown Cells\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "--\n",
        "--\n",
        "16 - NbConvert from command line\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "17 - NbConvert Python library\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "18 - Notebook and javascript extension\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "19 - Notebook Basics\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "20 - Overview of IPython.parallel\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "--\n",
        "22 - Rich Display System\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "23 - Running a Secure Public Notebook\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "24 - Running Code\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "25 - Sample\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "--\n",
        "27 - Terminal usage\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "--\n",
        "29 - Typesetting Math Using MathJax\r\n"
       ]
      }
     ],
     "prompt_number": 27
    },
    {
     "cell_type": "heading",
     "level": 2,
     "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",
     "collapsed": false,
     "input": [
      "%magic"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 28
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Line vs cell magics:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%timeit range(10)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "10000000 loops, best of 3: 190 ns per loop\n"
       ]
      }
     ],
     "prompt_number": 29
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%%timeit\n",
      "range(10)\n",
      "range(100)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "1000000 loops, best of 3: 888 ns per loop\n"
       ]
      }
     ],
     "prompt_number": 30
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Line magics can be used even inside code blocks:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "for i in range(5):\n",
      "    size = i*100\n",
      "    print 'size:',size, \n",
      "    %timeit range(size)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "size: 010000000 loops, best of 3: 129 ns per loop"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        " size: 1001000000 loops, best of 3: 649 ns per loop"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        " size: 2001000000 loops, best of 3: 1.09 \u00b5s per loop"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        " size: 3001000000 loops, best of 3: 1.74 \u00b5s per loop"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        " size: 400100000 loops, best of 3: 2.72 \u00b5s per loop"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "\n"
       ]
      }
     ],
     "prompt_number": 31
    },
    {
     "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",
     "collapsed": false,
     "input": [
      "%%bash\n",
      "echo \"My shell is:\" $SHELL\n",
      "echo \"My memory status is:\"\n",
      "free"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "My shell is: /bin/bash\n",
        "My memory status is:\n",
        "             total       used       free     shared    buffers     cached\n",
        "Mem:       7870888    6389328    1481560          0     662860    2505172\n",
        "-/+ buffers/cache:    3221296    4649592\n",
        "Swap:      3905532       4852    3900680\n"
       ]
      }
     ],
     "prompt_number": 32
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Another interesting cell magic: create any file you want locally from the notebook:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%%writefile test.txt\n",
      "This is a test file!\n",
      "It can contain anything I want...\n",
      "\n",
      "And more..."
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Writing test.txt\n"
       ]
      }
     ],
     "prompt_number": 33
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "!cat test.txt"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "This is a test file!\r\n",
        "It can contain anything I want...\r\n",
        "\r\n",
        "And more..."
       ]
      }
     ],
     "prompt_number": 34
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Let's see what other magics are currently defined in the system:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%lsmagic"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "json": [
        "{\"cell\": {\"prun\": \"ExecutionMagics\", \"file\": \"Other\", \"!\": \"OSMagics\", \"capture\": \"ExecutionMagics\", \"timeit\": \"ExecutionMagics\", \"script\": \"ScriptMagics\", \"pypy\": \"Other\", \"system\": \"OSMagics\", \"perl\": \"Other\", \"HTML\": \"Other\", \"bash\": \"Other\", \"python\": \"Other\", \"SVG\": \"Other\", \"javascript\": \"DisplayMagics\", \"writefile\": \"OSMagics\", \"ruby\": \"Other\", \"python3\": \"Other\", \"python2\": \"Other\", \"latex\": \"DisplayMagics\", \"sx\": \"OSMagics\", \"svg\": \"DisplayMagics\", \"html\": \"DisplayMagics\", \"sh\": \"Other\", \"time\": \"ExecutionMagics\", \"debug\": \"ExecutionMagics\"}, \"line\": {\"psource\": \"NamespaceMagics\", \"logstart\": \"LoggingMagics\", \"popd\": \"OSMagics\", \"loadpy\": \"CodeMagics\", \"install_ext\": \"ExtensionMagics\", \"colors\": \"BasicMagics\", \"who_ls\": \"NamespaceMagics\", \"lf\": \"Other\", \"install_profiles\": \"DeprecatedMagics\", \"clk\": \"Other\", \"ll\": \"Other\", \"pprint\": \"BasicMagics\", \"lk\": \"Other\", \"ls\": \"Other\", \"save\": \"CodeMagics\", \"tb\": \"ExecutionMagics\", \"lx\": \"Other\", \"dl\": \"Other\", \"pylab\": \"PylabMagics\", \"dd\": \"Other\", \"quickref\": \"BasicMagics\", \"dx\": \"Other\", \"d\": \"Other\", \"magic\": \"BasicMagics\", \"dhist\": \"OSMagics\", \"edit\": \"KernelMagics\", \"logstop\": \"LoggingMagics\", \"gui\": \"BasicMagics\", \"alias_magic\": \"BasicMagics\", \"debug\": \"ExecutionMagics\", \"page\": \"BasicMagics\", \"logstate\": \"LoggingMagics\", \"ed\": \"Other\", \"pushd\": \"OSMagics\", \"timeit\": \"ExecutionMagics\", \"rehashx\": \"OSMagics\", \"hist\": \"Other\", \"qtconsole\": \"KernelMagics\", \"rm\": \"Other\", \"dirs\": \"OSMagics\", \"run\": \"ExecutionMagics\", \"reset_selective\": \"NamespaceMagics\", \"rep\": \"Other\", \"pinfo2\": \"NamespaceMagics\", \"matplotlib\": \"PylabMagics\", \"automagic\": \"AutoMagics\", \"doctest_mode\": \"KernelMagics\", \"logoff\": \"LoggingMagics\", \"reload_ext\": \"ExtensionMagics\", \"pdb\": \"ExecutionMagics\", \"load\": \"CodeMagics\", \"lsmagic\": \"BasicMagics\", \"cl\": \"Other\", \"autosave\": \"KernelMagics\", \"cd\": \"OSMagics\", \"pastebin\": \"CodeMagics\", \"prun\": \"ExecutionMagics\", \"cp\": \"Other\", \"autocall\": \"AutoMagics\", \"bookmark\": \"OSMagics\", \"connect_info\": \"KernelMagics\", \"mkdir\": \"Other\", \"system\": \"OSMagics\", \"whos\": \"NamespaceMagics\", \"rmdir\": \"Other\", \"unload_ext\": \"ExtensionMagics\", \"store\": \"StoreMagics\", \"more\": \"KernelMagics\", \"pdef\": \"NamespaceMagics\", \"precision\": \"BasicMagics\", \"pinfo\": \"NamespaceMagics\", \"pwd\": \"OSMagics\", \"psearch\": \"NamespaceMagics\", \"reset\": \"NamespaceMagics\", \"recall\": \"HistoryMagics\", \"xdel\": \"NamespaceMagics\", \"xmode\": \"BasicMagics\", \"cat\": \"Other\", \"mv\": \"Other\", \"rerun\": \"HistoryMagics\", \"logon\": \"LoggingMagics\", \"history\": \"HistoryMagics\", \"pycat\": \"OSMagics\", \"unalias\": \"OSMagics\", \"install_default_config\": \"DeprecatedMagics\", \"env\": \"OSMagics\", \"load_ext\": \"ExtensionMagics\", \"config\": \"ConfigMagics\", \"killbgscripts\": \"ScriptMagics\", \"profile\": \"BasicMagics\", \"pfile\": \"NamespaceMagics\", \"less\": \"KernelMagics\", \"who\": \"NamespaceMagics\", \"notebook\": \"BasicMagics\", \"man\": \"KernelMagics\", \"sx\": \"OSMagics\", \"macro\": \"ExecutionMagics\", \"clear\": \"KernelMagics\", \"alias\": \"OSMagics\", \"time\": \"ExecutionMagics\", \"sc\": \"OSMagics\", \"ldir\": \"Other\", \"pdoc\": \"NamespaceMagics\"}}"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 35,
       "text": [
        "Available line magics:\n",
        "%alias  %alias_magic  %autocall  %automagic  %autosave  %bookmark  %cat  %cd  %cl  %clear  %clk  %colors  %config  %connect_info  %cp  %d  %dd  %debug  %dhist  %dirs  %dl  %doctest_mode  %dx  %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  %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."
       ]
      }
     ],
     "prompt_number": 35
    },
    {
     "cell_type": "heading",
     "level": 2,
     "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",
     "collapsed": false,
     "input": [
      ">>> # 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"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "1\n",
        "1\n",
        "2\n",
        "3\n",
        "5\n",
        "8\n"
       ]
      }
     ],
     "prompt_number": 36
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "In [1]: for i in range(10):\n",
      "   ...:     print i,\n",
      "   ...:     "
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "0 1 2 3 4 5 6 7 8 9\n"
       ]
      }
     ],
     "prompt_number": 37
    },
    {
     "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",
     "collapsed": false,
     "input": [
      "%%writefile mod.py\n",
      "\n",
      "def f(x):\n",
      "    return 1.0/(x-1)\n",
      "\n",
      "def g(y):\n",
      "    return f(y+1)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Writing mod.py\n"
       ]
      }
     ],
     "prompt_number": 38
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Now let's call the function `g` with an argument that would produce an error:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import mod\n",
      "mod.g(0)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "ename": "ZeroDivisionError",
       "evalue": "float division by zero",
       "output_type": "pyerr",
       "traceback": [
        "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[1;31mZeroDivisionError\u001b[0m                         Traceback (most recent call last)",
        "\u001b[1;32m<ipython-input-39-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/home/fperez/ipython/tutorial/notebooks/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/home/fperez/ipython/tutorial/notebooks/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"
       ]
      }
     ],
     "prompt_number": 39
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%xmode plain\n",
      "mod.g(0)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Exception reporting mode: Plain\n"
       ]
      },
      {
       "ename": "ZeroDivisionError",
       "evalue": "float division by zero",
       "output_type": "pyerr",
       "traceback": [
        "Traceback \u001b[1;36m(most recent call last)\u001b[0m:\n",
        "  File \u001b[0;32m\"<ipython-input-40-5a5bcec1553f>\"\u001b[0m, line \u001b[0;32m2\u001b[0m, in \u001b[0;35m<module>\u001b[0m\n    mod.g(0)\n",
        "  File \u001b[0;32m\"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\"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"
       ]
      }
     ],
     "prompt_number": 40
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%xmode verbose\n",
      "mod.g(0)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Exception reporting mode: Verbose\n"
       ]
      },
      {
       "ename": "ZeroDivisionError",
       "evalue": "float division by zero",
       "output_type": "pyerr",
       "traceback": [
        "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[1;31mZeroDivisionError\u001b[0m                         Traceback (most recent call last)",
        "\u001b[1;32m<ipython-input-41-81967cfaa0c3>\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;34mu'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 0x237fc08>\u001b[0m\n",
        "\u001b[1;32m/home/fperez/ipython/tutorial/notebooks/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 0x2367c08>\u001b[0m\u001b[1;34m\n        \u001b[0m\u001b[0;36my\u001b[0m \u001b[1;34m= 0\u001b[0m\n",
        "\u001b[1;32m/home/fperez/ipython/tutorial/notebooks/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"
       ]
      }
     ],
     "prompt_number": 41
    },
    {
     "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",
     "collapsed": false,
     "input": [
      "%xmode context"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Exception reporting mode: Context\n"
       ]
      }
     ],
     "prompt_number": 42
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Running code in other languages with special `%%` magics"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%%perl\n",
      "@months = (\"July\", \"August\", \"September\");\n",
      "print $months[0];"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "July"
       ]
      }
     ],
     "prompt_number": 43
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%%ruby\n",
      "name = \"world\"\n",
      "puts \"Hello #{name.capitalize}!\""
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Hello World!\n"
       ]
      }
     ],
     "prompt_number": 44
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": [
      "Exercise"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Write a cell that executes in Bash and prints your current working directory as well as the date.\n",
      "\n",
      "Apologies to Windows users who may not have Bash available, not sure how to obtain the equivalent result with `cmd.exe` or Powershell."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%load soln/bash-script"
     ],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "heading",
     "level": 2,
     "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",
     "collapsed": false,
     "input": [
      "mod.g(0)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "ename": "ZeroDivisionError",
       "evalue": "float division by zero",
       "output_type": "pyerr",
       "traceback": [
        "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[1;31mZeroDivisionError\u001b[0m                         Traceback (most recent call last)",
        "\u001b[1;32m<ipython-input-45-5e708f13c839>\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/home/fperez/ipython/tutorial/notebooks/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/home/fperez/ipython/tutorial/notebooks/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"
       ]
      }
     ],
     "prompt_number": 45
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%debug"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "> \u001b[0;32m/Users/bussonniermatthias/ipython-in-depth/notebooks/mod.py\u001b[0m(3)\u001b[0;36mf\u001b[0;34m()\u001b[0m\n",
        "\u001b[0;32m      2 \u001b[0;31m\u001b[0;32mdef\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
        "\u001b[0m\u001b[0;32m----> 3 \u001b[0;31m    \u001b[0;32mreturn\u001b[0m \u001b[0;36m1.0\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
        "\u001b[0m\u001b[0;32m      4 \u001b[0;31m\u001b[0;34m\u001b[0m\u001b[0m\n",
        "\u001b[0m\n"
       ]
      },
      {
       "name": "stdout",
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "ipdb> x\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "1\n"
       ]
      },
      {
       "name": "stdout",
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "ipdb> up\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "> \u001b[0;32m/Users/bussonniermatthias/ipython-in-depth/notebooks/mod.py\u001b[0m(6)\u001b[0;36mg\u001b[0;34m()\u001b[0m\n",
        "\u001b[0;32m      4 \u001b[0;31m\u001b[0;34m\u001b[0m\u001b[0m\n",
        "\u001b[0m\u001b[0;32m      5 \u001b[0;31m\u001b[0;32mdef\u001b[0m \u001b[0mg\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0my\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
        "\u001b[0m\u001b[0;32m----> 6 \u001b[0;31m    \u001b[0;32mreturn\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0my\u001b[0m\u001b[0;34m+\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
        "\u001b[0m\n"
       ]
      },
      {
       "name": "stdout",
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "ipdb> y\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "0\n"
       ]
      },
      {
       "name": "stdout",
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "ipdb> up\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "> \u001b[0;32m<ipython-input-37-5e708f13c839>\u001b[0m(1)\u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n",
        "\u001b[0;32m----> 1 \u001b[0;31m\u001b[0mmod\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mg\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
        "\u001b[0m\n"
       ]
      },
      {
       "name": "stdout",
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "ipdb> exit\n"
       ]
      }
     ],
     "prompt_number": 38
    },
    {
     "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",
     "collapsed": false,
     "input": [
      "enjoy = raw_input('Are you enjoying this tutorial ?')\n",
      "print 'enjoy is :', enjoy"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "name": "stdout",
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Are you enjoying this tutorial ?Yes !\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "enjoy is : Yes !\n"
       ]
      }
     ],
     "prompt_number": 39
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Plotting in the notebook"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "This magic configures matplotlib to render its figures inline:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%matplotlib inline"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 46
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import numpy as np\n",
      "import matplotlib.pyplot as plt"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 47
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "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..."
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": "iVBORw0KGgoAAAANSUhEUgAAAXoAAAEKCAYAAAAcgp5RAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
       "text": [
        "<matplotlib.figure.Figure at 0x3436950>"
       ]
      }
     ],
     "prompt_number": 48
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "The IPython kernel/client model"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%connect_info"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "{\n",
        "  \"stdin_port\": 50023, \n",
        "  \"ip\": \"127.0.0.1\", \n",
        "  \"control_port\": 50024, \n",
        "  \"hb_port\": 50025, \n",
        "  \"signature_scheme\": \"hmac-sha256\", \n",
        "  \"key\": \"b54b8859-d64d-48bb-814a-909f9beb3316\", \n",
        "  \"shell_port\": 50021, \n",
        "  \"transport\": \"tcp\", \n",
        "  \"iopub_port\": 50022\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-30f00f4a-230c-4e64-bea5-0e5f6a52cb40.json \n",
        "or even just:\n",
        "    $> ipython <app> --existing \n",
        "if this is the most recent IPython session you have started.\n"
       ]
      }
     ],
     "prompt_number": 43
    },
    {
     "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",
     "collapsed": false,
     "input": [
      "%qtconsole"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 83
    }
   ],
   "metadata": {}
  }
 ]
}