Merge pull request #5897 from ellisonbg/notebook-docs

Major rewrite of notebook based documentation/examples

examples/IPython Kernel/Beyond Plain Python.ipynb

@@ -0,0 +1,1613
+{
+ "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": 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9sqUF+N3vgI0bnV6JWNywaUqU0LcfbMbrQJNw8BD63r35RzdWirEAP6G3Et3I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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": {}
+  }
+ ]
+}
  No newline at end of file

examples/IPython Kernel/Capturing Output.ipynb

@@ -0,0 +1,332
+{
+ "metadata": {
+  "name": "",
+  "signature": "sha256:df6354daf203e842bc040989d149760382d8ceec769160e4efe8cde9dfcb9107"
+ },
+ "nbformat": 3,
+ "nbformat_minor": 0,
+ "worksheets": [
+  {
+   "cells": [
+    {
+     "cell_type": "heading",
+     "level": 1,
+     "metadata": {},
+     "source": [
+      "Capturing Output With <tt>%%capture</tt>"
+     ]
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "IPython has a [cell magic](Cell Magics.ipynb), `%%capture`, which captures the stdout/stderr of a cell. With this magic you can discard these streams or store them in a variable."
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "from __future__ import print_function\n",
+      "import sys"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 9
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "By default, `%%capture` discards these streams.  This is a simple way to suppress unwanted output."
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "%%capture\n",
+      "print('hi, stdout')\n",
+      "print('hi, stderr', file=sys.stderr)"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 10
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "If you specify a name, then stdout/stderr will be stored in an object in your namespace."
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "%%capture captured\n",
+      "print('hi, stdout')\n",
+      "print('hi, stderr', file=sys.stderr)"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 11
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "captured"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 12,
+       "text": [
+        "<IPython.utils.capture.CapturedIO at 0x1076c9310>"
+       ]
+      }
+     ],
+     "prompt_number": 12
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "Calling the object writes the output to stdout/stderr as appropriate."
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "captured()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "output_type": "stream",
+       "stream": "stdout",
+       "text": [
+        "hi, stdout\n"
+       ]
+      },
+      {
+       "output_type": "stream",
+       "stream": "stderr",
+       "text": [
+        "hi, stderr\n"
+       ]
+      }
+     ],
+     "prompt_number": 13
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "captured.stdout"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 14,
+       "text": [
+        "'hi, stdout\\n'"
+       ]
+      }
+     ],
+     "prompt_number": 14
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "captured.stderr"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 15,
+       "text": [
+        "'hi, stderr\\n'"
+       ]
+      }
+     ],
+     "prompt_number": 15
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "`%%capture` grabs all output types, not just stdout/stderr, so you can do plots and use IPython's display system inside `%%capture`"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "%matplotlib inline\n",
+      "import matplotlib.pyplot as plt\n",
+      "import numpy as np"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 16
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "%%capture wontshutup\n",
+      "\n",
+      "print(\"setting up X\")\n",
+      "x = np.linspace(0,5,1000)\n",
+      "print(\"step 2: constructing y-data\")\n",
+      "y = np.sin(x)\n",
+      "print(\"step 3: display info about y\")\n",
+      "plt.plot(x,y)\n",
+      "print(\"okay, I'm done now\")"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 17
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "wontshutup()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "output_type": "stream",
+       "stream": "stdout",
+       "text": [
+        "setting up X\n",
+        "step 2: constructing y-data\n",
+        "step 3: display info about y\n",
+        "okay, I'm done now\n"
+       ]
+      },
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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8HliyxByYdvCgafFceaW53aphQ3OoWlFOzNy7F/7v/8xr3TpYs8b8vm1bc2TD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\nAAAASUVORK5CYII=\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x10866ae90>"
+       ]
+      }
+     ],
+     "prompt_number": 18
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "And you can selectively disable capturing stdout, stderr or rich display, by passing `--no-stdout`, `--no-stderr` and `--no-display`"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "%%capture cap --no-stderr\n",
+      "print('hi, stdout')\n",
+      "print(\"hello, stderr\", file=sys.stderr)"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "output_type": "stream",
+       "stream": "stderr",
+       "text": [
+        "hello, stderr\n"
+       ]
+      }
+     ],
+     "prompt_number": 19
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "cap.stdout"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 20,
+       "text": [
+        "'hi, stdout\\n'"
+       ]
+      }
+     ],
+     "prompt_number": 20
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "cap.stderr"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 21,
+       "text": [
+        "''"
+       ]
+      }
+     ],
+     "prompt_number": 21
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "cap.outputs"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 22,
+       "text": [
+        "[]"
+       ]
+      }
+     ],
+     "prompt_number": 22
+    }
+   ],
+   "metadata": {}
+  }
+ ]
+}
  No newline at end of file

examples/IPython Kernel/Custom Display Logic.ipynb

@@ -0,0 +1,787
+{
+ "metadata": {
+  "name": "",
+  "signature": "sha256:86c779d5798c4a68bda7e71c8ef320cb7ba9d7e3d0f1bc4b828ee65f617a5ae3"
+ },
+ "nbformat": 3,
+ "nbformat_minor": 0,
+ "worksheets": [
+  {
+   "cells": [
+    {
+     "cell_type": "heading",
+     "level": 1,
+     "metadata": {},
+     "source": [
+      "Custom Display Logic"
+     ]
+    },
+    {
+     "cell_type": "heading",
+     "level": 2,
+     "metadata": {},
+     "source": [
+      "Overview"
+     ]
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "As described in the [Rich Output](Rich Output.ipynb) tutorial, the IPython display system can display rich representations of objects in the following formats:\n",
+      "\n",
+      "* JavaScript\n",
+      "* HTML\n",
+      "* PNG\n",
+      "* JPEG\n",
+      "* SVG\n",
+      "* LaTeX\n",
+      "* PDF\n",
+      "\n",
+      "This Notebook shows how you can add custom display logic to your own classes, so that they can be displayed using these rich representations. There are two ways of accomplishing this:\n",
+      "\n",
+      "1. Implementing special display methods such as `_repr_html_` when you define your class.\n",
+      "2. Registering a display function for a particular existing class.\n",
+      "\n",
+      "This Notebook describes and illustrates both approaches."
+     ]
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "Import the IPython display functions."
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "from IPython.display import (\n",
+      "    display, display_html, display_png, display_svg\n",
+      ")"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 1
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "Parts of this notebook need the matplotlib inline backend:"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "%matplotlib inline\n",
+      "import numpy as np\n",
+      "import matplotlib.pyplot as plt"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 2
+    },
+    {
+     "cell_type": "heading",
+     "level": 2,
+     "metadata": {},
+     "source": [
+      "Special display methods"
+     ]
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "The main idea of the first approach is that you have to implement special display methods when you define your class, one for each representation you want to use. Here is a list of the names of the special methods and the values they must return:\n",
+      "\n",
+      "* `_repr_html_`: return raw HTML as a string\n",
+      "* `_repr_json_`: return raw JSON as a string\n",
+      "* `_repr_jpeg_`: return raw JPEG data\n",
+      "* `_repr_png_`: return raw PNG data\n",
+      "* `_repr_svg_`: return raw SVG data as a string\n",
+      "* `_repr_latex_`: return LaTeX commands in a string surrounded by \"$\"."
+     ]
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "As an illustration, we build a class that holds data generated by sampling a Gaussian distribution with given mean and standard deviation. Here is the definition of the `Gaussian` class, which has a custom PNG and LaTeX representation."
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "from IPython.core.pylabtools import print_figure\n",
+      "from IPython.display import Image, SVG, Math\n",
+      "\n",
+      "class Gaussian(object):\n",
+      "    \"\"\"A simple object holding data sampled from a Gaussian distribution.\n",
+      "    \"\"\"\n",
+      "    def __init__(self, mean=0.0, std=1, size=1000):\n",
+      "        self.data = np.random.normal(mean, std, size)\n",
+      "        self.mean = mean\n",
+      "        self.std = std\n",
+      "        self.size = size\n",
+      "        # For caching plots that may be expensive to compute\n",
+      "        self._png_data = None\n",
+      "        \n",
+      "    def _figure_data(self, format):\n",
+      "        fig, ax = plt.subplots()\n",
+      "        ax.hist(self.data, bins=50)\n",
+      "        ax.set_title(self._repr_latex_())\n",
+      "        ax.set_xlim(-10.0,10.0)\n",
+      "        data = print_figure(fig, format)\n",
+      "        # We MUST close the figure, otherwise IPython's display machinery\n",
+      "        # will pick it up and send it as output, resulting in a double display\n",
+      "        plt.close(fig)\n",
+      "        return data\n",
+      "        \n",
+      "    def _repr_png_(self):\n",
+      "        if self._png_data is None:\n",
+      "            self._png_data = self._figure_data('png')\n",
+      "        return self._png_data\n",
+      "    \n",
+      "    def _repr_latex_(self):\n",
+      "        return r'$\\mathcal{N}(\\mu=%.2g, \\sigma=%.2g),\\ N=%d$' % (self.mean,\n",
+      "                                                                 self.std, self.size)"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 3
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "Create an instance of the Gaussian distribution and return it to display the default representation:"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "x = Gaussian(2.0, 1.0)\n",
+      "x"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "latex": [
+        "$\\mathcal{N}(\\mu=2, \\sigma=1),\\ N=1000$"
+       ],
+       "metadata": {},
+       "output_type": "pyout",
+       "png": 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+       "prompt_number": 4,
+       "text": [
+        "<__main__.Gaussian at 0x106e7ae10>"
+       ]
+      }
+     ],
+     "prompt_number": 4
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "You can also pass the object to the `display` function to display the default representation:"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "display(x)"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "latex": [
+        "$\\mathcal{N}(\\mu=2, \\sigma=1),\\ N=1000$"
+       ],
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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RqVSoVCot3z/tyRaWA/cAb0jWbwSeBW4g7OhcTPMdntVq1cG64lEqlQhfMGe7JsU23fcY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\n",
+       "text": [
+        "<__main__.Gaussian at 0x106e7ae10>"
+       ]
+      }
+     ],
+     "prompt_number": 5
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "Use `display_png` to view the PNG representation:"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "display_png(x)"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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+      }
+     ],
+     "prompt_number": 6
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "<div class=\"alert alert-success\">\n",
+      "It is important to note a subtle different between <code>display</code> and <code>display_png</code>. The former computes <em>all</em> representations of the object, and lets the notebook UI decide which to display. The later only computes the PNG representation.\n",
+      "</div>"
+     ]
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "Create a new Gaussian with different parameters:"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "x2 = Gaussian(0, 2, 2000)\n",
+      "x2"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "latex": [
+        "$\\mathcal{N}(\\mu=0, \\sigma=2),\\ N=2000$"
+       ],
+       "metadata": {},
+       "output_type": "pyout",
+       "png": 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+       "prompt_number": 7,
+       "text": [
+        "<__main__.Gaussian at 0x106e9ce90>"
+       ]
+      }
+     ],
+     "prompt_number": 7
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "You can then compare the two Gaussians by displaying their histograms:"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "display_png(x)\n",
+      "display_png(x2)"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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+      {
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+       "output_type": "display_data",
+       "png": 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6upf0gzFgwEvdyJq71DccjqCfZA33+cCDwDPA08DHk+VDwEZgO7ABmN1oASU1S2k4gvAJ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\nTkSuQmCC\n"
+      }
+     ],
+     "prompt_number": 8
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "Note that like `print`, you can call any of the `display` functions multiple times in a cell."
+     ]
+    },
+    {
+     "cell_type": "heading",
+     "level": 2,
+     "metadata": {},
+     "source": [
+      "Adding IPython display support to existing objects"
+     ]
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "When you are directly writing your own classes, you can adapt them for display in IPython by following the above approach.  But in practice, you often need to work with existing classes that you can't easily modify. We now illustrate how to add rich output capabilities to existing objects. We will use the NumPy polynomials and change their default representation to be a formatted LaTeX expression."
+     ]
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "First, consider how a NumPy polynomial object renders by default:"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "p = np.polynomial.Polynomial([1,2,3], [-10, 10])\n",
+      "p"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 9,
+       "text": [
+        "Polynomial([ 1.,  2.,  3.], [-10.,  10.], [-1.,  1.])"
+       ]
+      }
+     ],
+     "prompt_number": 9
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "Next, define a function that pretty-prints a polynomial as a LaTeX string:"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "def poly_to_latex(p):\n",
+      "    terms = ['%.2g' % p.coef[0]]\n",
+      "    if len(p) > 1:\n",
+      "        term = 'x'\n",
+      "        c = p.coef[1]\n",
+      "        if c!=1:\n",
+      "            term = ('%.2g ' % c) + term\n",
+      "        terms.append(term)\n",
+      "    if len(p) > 2:\n",
+      "        for i in range(2, len(p)):\n",
+      "            term = 'x^%d' % i\n",
+      "            c = p.coef[i]\n",
+      "            if c!=1:\n",
+      "                term = ('%.2g ' % c) + term\n",
+      "            terms.append(term)\n",
+      "    px = '$P(x)=%s$' % '+'.join(terms)\n",
+      "    dom = r', $x \\in [%.2g,\\ %.2g]$' % tuple(p.domain)\n",
+      "    return px+dom"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 10
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "This produces, on our polynomial ``p``, the following:"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "poly_to_latex(p)"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 11,
+       "text": [
+        "'$P(x)=1+2 x+3 x^2$, $x \\\\in [-10,\\\\ 10]$'"
+       ]
+      }
+     ],
+     "prompt_number": 11
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "You can render this string using the `Latex` class:"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "from IPython.display import Latex\n",
+      "Latex(poly_to_latex(p))"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "latex": [
+        "$P(x)=1+2 x+3 x^2$, $x \\in [-10,\\ 10]$"
+       ],
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 12,
+       "text": [
+        "<IPython.core.display.Latex object>"
+       ]
+      }
+     ],
+     "prompt_number": 12
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "However, you can configure IPython to do this automatically by registering the `Polynomial` class and the `plot_to_latex` function with an IPython display formatter. Let's look at the default formatters provided by IPython:"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "ip = get_ipython()\n",
+      "for mime, formatter in ip.display_formatter.formatters.items():\n",
+      "    print '%24s : %s' % (mime, formatter.__class__.__name__)"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "output_type": "stream",
+       "stream": "stdout",
+       "text": [
+        "              text/plain : PlainTextFormatter\n",
+        "              image/jpeg : JPEGFormatter\n",
+        "               text/html : HTMLFormatter\n",
+        "           image/svg+xml : SVGFormatter\n",
+        "               image/png : PNGFormatter\n",
+        "  application/javascript : JavascriptFormatter\n",
+        "           text/markdown : MarkdownFormatter\n",
+        "              text/latex : LatexFormatter\n",
+        "        application/json : JSONFormatter\n",
+        "         application/pdf : PDFFormatter\n"
+       ]
+      }
+     ],
+     "prompt_number": 13
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "The `formatters` attribute is a dictionary keyed by MIME types. To define a custom LaTeX display function, you want a handle on the `text/latex` formatter:"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "ip = get_ipython()\n",
+      "latex_f = ip.display_formatter.formatters['text/latex']"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 14
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "The formatter object has a couple of methods for registering custom display functions for existing types."
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "help(latex_f.for_type)"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "output_type": "stream",
+       "stream": "stdout",
+       "text": [
+        "Help on method for_type in module IPython.core.formatters:\n",
+        "\n",
+        "for_type(self, typ, func=None) method of IPython.core.formatters.LatexFormatter instance\n",
+        "    Add a format function for a given type.\n",
+        "    \n",
+        "    Parameters\n",
+        "    -----------\n",
+        "    typ : type or '__module__.__name__' string for a type\n",
+        "        The class of the object that will be formatted using `func`.\n",
+        "    func : callable\n",
+        "        A callable for computing the format data.\n",
+        "        `func` will be called with the object to be formatted,\n",
+        "        and will return the raw data in this formatter's format.\n",
+        "        Subclasses may use a different call signature for the\n",
+        "        `func` argument.\n",
+        "        \n",
+        "        If `func` is None or not specified, there will be no change,\n",
+        "        only returning the current value.\n",
+        "    \n",
+        "    Returns\n",
+        "    -------\n",
+        "    oldfunc : callable\n",
+        "        The currently registered callable.\n",
+        "        If you are registering a new formatter,\n",
+        "        this will be the previous value (to enable restoring later).\n",
+        "\n"
+       ]
+      }
+     ],
+     "prompt_number": 15
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "help(latex_f.for_type_by_name)"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "output_type": "stream",
+       "stream": "stdout",
+       "text": [
+        "Help on method for_type_by_name in module IPython.core.formatters:\n",
+        "\n",
+        "for_type_by_name(self, type_module, type_name, func=None) method of IPython.core.formatters.LatexFormatter instance\n",
+        "    Add a format function for a type specified by the full dotted\n",
+        "    module and name of the type, rather than the type of the object.\n",
+        "    \n",
+        "    Parameters\n",
+        "    ----------\n",
+        "    type_module : str\n",
+        "        The full dotted name of the module the type is defined in, like\n",
+        "        ``numpy``.\n",
+        "    type_name : str\n",
+        "        The name of the type (the class name), like ``dtype``\n",
+        "    func : callable\n",
+        "        A callable for computing the format data.\n",
+        "        `func` will be called with the object to be formatted,\n",
+        "        and will return the raw data in this formatter's format.\n",
+        "        Subclasses may use a different call signature for the\n",
+        "        `func` argument.\n",
+        "        \n",
+        "        If `func` is None or unspecified, there will be no change,\n",
+        "        only returning the current value.\n",
+        "    \n",
+        "    Returns\n",
+        "    -------\n",
+        "    oldfunc : callable\n",
+        "        The currently registered callable.\n",
+        "        If you are registering a new formatter,\n",
+        "        this will be the previous value (to enable restoring later).\n",
+        "\n"
+       ]
+      }
+     ],
+     "prompt_number": 16
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "In this case, we will use `for_type_by_name` to register `poly_to_latex` as the display function for the `Polynomial` type:"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "latex_f.for_type_by_name('numpy.polynomial.polynomial',\n",
+      "                                 'Polynomial', poly_to_latex)"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 18
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "Once the custom display function has been registered, all NumPy `Polynomial` instances will be represented by their LaTeX form instead:"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "p"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "latex": [
+        "$P(x)=1+2 x+3 x^2$, $x \\in [-10,\\ 10]$"
+       ],
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 19,
+       "text": [
+        "Polynomial([ 1.,  2.,  3.], [-10.,  10.], [-1.,  1.])"
+       ]
+      }
+     ],
+     "prompt_number": 19
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "p2 = np.polynomial.Polynomial([-20, 71, -15, 1])\n",
+      "p2"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "latex": [
+        "$P(x)=-20+71 x+-15 x^2+x^3$, $x \\in [-1,\\ 1]$"
+       ],
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 20,
+       "text": [
+        "Polynomial([-20.,  71., -15.,   1.], [-1.,  1.], [-1.,  1.])"
+       ]
+      }
+     ],
+     "prompt_number": 20
+    },
+    {
+     "cell_type": "heading",
+     "level": 2,
+     "metadata": {},
+     "source": [
+      "More complex display with `_ipython_display_`"
+     ]
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "Rich output special methods and functions can only display one object or MIME type at a time. Sometimes this is not enough if you want to display multiple objects or MIME types at once. An example of this would be to use an HTML representation to put some HTML elements in the DOM and then use a JavaScript representation to add events to those elements.\n",
+      "\n",
+      "**IPython 2.0** recognizes another display method, `_ipython_display_`, which allows your objects to take complete control of displaying themselves. If this method is defined, IPython will call it, and make no effort to display the object using the above described `_repr_*_` methods for custom display functions. It's a way for you to say \"Back off, IPython, I can display this myself.\" Most importantly, your `_ipython_display_` method can make multiple calls to the top-level `display` functions to accomplish its goals.\n",
+      "\n",
+      "Here is an object that uses `display_html` and `display_javascript` to make a plot using the [Flot](http://www.flotcharts.org/) JavaScript plotting library:"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "import json\n",
+      "import uuid\n",
+      "from IPython.display import display_javascript, display_html, display\n",
+      "\n",
+      "class FlotPlot(object):\n",
+      "    def __init__(self, x, y):\n",
+      "        self.x = x\n",
+      "        self.y = y\n",
+      "        self.uuid = str(uuid.uuid4())\n",
+      "    \n",
+      "    def _ipython_display_(self):\n",
+      "        json_data = json.dumps(zip(self.x, self.y))\n",
+      "        display_html('<div id=\"{}\" style=\"height: 300px; width:80%;\"></div>'.format(self.uuid),\n",
+      "            raw=True\n",
+      "        )\n",
+      "        display_javascript(\"\"\"\n",
+      "        require([\"//cdnjs.cloudflare.com/ajax/libs/flot/0.8.2/jquery.flot.min.js\"], function() {\n",
+      "          var line = JSON.parse(\"%s\");\n",
+      "          console.log(line);\n",
+      "          $.plot(\"#%s\", [line]);\n",
+      "        });\n",
+      "        \"\"\" % (json_data, self.uuid), raw=True)\n"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 21
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "import numpy as np\n",
+      "x = np.linspace(0,10)\n",
+      "y = np.sin(x)\n",
+      "FlotPlot(x, np.sin(x))"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "html": [
+        "<div id=\"e75b8189-92cb-4cbb-9996-bb8ad5ff1b4e\" style=\"height: 300px; width:80%;\"></div>"
+       ],
+       "metadata": {},
+       "output_type": "display_data"
+      },
+      {
+       "javascript": [
+        "\n",
+        "        require([\"//cdnjs.cloudflare.com/ajax/libs/flot/0.8.2/jquery.flot.min.js\"], function() {\n",
+        "          var line = JSON.parse(\"[[0.0, 0.0], [0.20408163265306123, 0.20266793654820095], [0.40816326530612246, 0.39692414892492234], [0.61224489795918369, 0.57470604121617908], [0.81632653061224492, 0.72863478346935029], [1.0204081632653061, 0.85232156971961837], [1.2244897959183674, 0.94063278511248671], [1.4285714285714286, 0.98990307637212394], [1.6326530612244898, 0.99808748213471832], [1.8367346938775511, 0.96484630898376322], [2.0408163265306123, 0.89155923041100371], [2.2448979591836737, 0.7812680235262639], [2.4489795918367347, 0.63855032022660208], [2.6530612244897958, 0.46932961277720098], [2.8571428571428572, 0.28062939951435684], [3.0612244897959187, 0.080281674842813497], [3.2653061224489797, -0.12339813736217871], [3.4693877551020407, -0.32195631507261868], [3.6734693877551021, -0.50715170948451438], [3.8775510204081636, -0.67129779355193209], [4.0816326530612246, -0.80758169096833643], [4.2857142857142856, -0.91034694431078278], [4.4897959183673475, -0.97532828606704558], [4.6938775510204085, -0.99982866838408957], [4.8979591836734695, -0.98283120392563061], [5.1020408163265305, -0.92504137173820289], [5.3061224489795915, -0.82885773637304272], [5.5102040816326534, -0.69827239556539955], [5.7142857142857144, -0.53870528838615628], [5.9183673469387754, -0.35677924089893803], [6.1224489795918373, -0.16004508604325057], [6.3265306122448983, 0.043331733368683463], [6.5306122448979593, 0.24491007101197931], [6.7346938775510203, 0.43632342647181932], [6.9387755102040813, 0.6096271964908323], [7.1428571428571432, 0.75762841539272019], [7.3469387755102042, 0.87418429881973347], [7.5510204081632653, 0.95445719973875187], [7.7551020408163271, 0.99511539477766364], [7.9591836734693882, 0.99447136726361685], [8.1632653061224492, 0.95255184753146038], [8.3673469387755102, 0.87109670348232071], [8.5714285714285712, 0.75348672743963763], [8.7755102040816322, 0.60460331650615429], [8.979591836734695, 0.43062587038273736], [9.183673469387756, 0.23877531564403087], [9.387755102040817, 0.037014401485062368], [9.591836734693878, -0.16628279384875641], [9.795918367346939, -0.36267842882654883], [10.0, -0.54402111088936989]]\");\n",
+        "          console.log(line);\n",
+        "          $.plot(\"#e75b8189-92cb-4cbb-9996-bb8ad5ff1b4e\", [line]);\n",
+        "        });\n",
+        "        "
+       ],
+       "metadata": {},
+       "output_type": "display_data"
+      }
+     ],
+     "prompt_number": 22
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [],
+     "language": "python",
+     "metadata": {},
+     "outputs": []
+    }
+   ],
+   "metadata": {}
+  }
+ ]
+}
  No newline at end of file

examples/IPython Kernel/Old Custom Display Logic.ipynb

@@ -0,0 +1,944
+{
+ "metadata": {
+  "name": ""
+ },
+ "nbformat": 3,
+ "nbformat_minor": 0,
+ "worksheets": [
+  {
+   "cells": [
+    {
+     "cell_type": "heading",
+     "level": 1,
+     "metadata": {},
+     "source": [
+      "Defining Custom Display Logic for Your Own Objects"
+     ]
+    },
+    {
+     "cell_type": "heading",
+     "level": 2,
+     "metadata": {},
+     "source": [
+      "Overview"
+     ]
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "In Python, objects can declare their textual representation using the `__repr__` method.  IPython expands on this idea and allows objects to declare other, richer representations including:\n",
+      "\n",
+      "* HTML\n",
+      "* JSON\n",
+      "* PNG\n",
+      "* JPEG\n",
+      "* SVG\n",
+      "* LaTeX\n",
+      "\n",
+      "This Notebook shows how you can add custom display logic to your own classes, so that they can be displayed using these rich representations. There are two ways of accomplishing this:\n",
+      "\n",
+      "1. Implementing special display methods such as `_repr_html_`.\n",
+      "2. Registering a display function for a particular type.\n",
+      "\n",
+      "In this Notebook we show how both approaches work."
+     ]
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "Before we get started, we will import the various display functions for displaying the different formats we will create."
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "from IPython.display import display\n",
+      "from IPython.display import (\n",
+      "    display_html, display_jpeg, display_png,\n",
+      "    display_javascript, display_svg, display_latex\n",
+      ")"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 1
+    },
+    {
+     "cell_type": "heading",
+     "level": 2,
+     "metadata": {},
+     "source": [
+      "Implementing special display methods"
+     ]
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "The main idea of the first approach is that you have to implement special display methods, one for each representation you want to use. Here is a list of the names of the special methods and the values they must return:\n",
+      "\n",
+      "* `_repr_html_`: return raw HTML as a string\n",
+      "* `_repr_json_`: return raw JSON as a string\n",
+      "* `_repr_jpeg_`: return raw JPEG data\n",
+      "* `_repr_png_`: return raw PNG data\n",
+      "* `_repr_svg_`: return raw SVG data as a string\n",
+      "* `_repr_latex_`: return LaTeX commands in a string surrounded by \"$\"."
+     ]
+    },
+    {
+     "cell_type": "heading",
+     "level": 3,
+     "metadata": {},
+     "source": [
+      "Model Citizen: pandas"
+     ]
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "A prominent example of a package that has IPython-aware rich representations of its objects is [pandas](http://pandas.pydata.org/).\n",
+      "\n",
+      "A pandas DataFrame has a rich HTML table representation,\n",
+      "using `_repr_html_`.\n"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "import io\n",
+      "import pandas"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 2
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "%%writefile data.csv\n",
+      "Date,Open,High,Low,Close,Volume,Adj Close\n",
+      "2012-06-01,569.16,590.00,548.50,584.00,14077000,581.50\n",
+      "2012-05-01,584.90,596.76,522.18,577.73,18827900,575.26\n",
+      "2012-04-02,601.83,644.00,555.00,583.98,28759100,581.48\n",
+      "2012-03-01,548.17,621.45,516.22,599.55,26486000,596.99\n",
+      "2012-02-01,458.41,547.61,453.98,542.44,22001000,540.12\n",
+      "2012-01-03,409.40,458.24,409.00,456.48,12949100,454.53\n"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "output_type": "stream",
+       "stream": "stdout",
+       "text": [
+        "Writing data.csv\n"
+       ]
+      }
+     ],
+     "prompt_number": 3
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "df = pandas.read_csv(\"data.csv\")\n",
+      "pandas.set_option('display.notebook_repr_html', False)\n",
+      "df"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 4,
+       "text": [
+        "         Date    Open    High     Low   Close    Volume  Adj Close\n",
+        "0  2012-06-01  569.16  590.00  548.50  584.00  14077000     581.50\n",
+        "1  2012-05-01  584.90  596.76  522.18  577.73  18827900     575.26\n",
+        "2  2012-04-02  601.83  644.00  555.00  583.98  28759100     581.48\n",
+        "3  2012-03-01  548.17  621.45  516.22  599.55  26486000     596.99\n",
+        "4  2012-02-01  458.41  547.61  453.98  542.44  22001000     540.12\n",
+        "5  2012-01-03  409.40  458.24  409.00  456.48  12949100     454.53"
+       ]
+      }
+     ],
+     "prompt_number": 4
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "rich HTML can be activated via `pandas.set_option`."
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "pandas.set_option('display.notebook_repr_html', True)\n",
+      "df"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "html": [
+        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+        "<table border=\"1\" class=\"dataframe\">\n",
+        "  <thead>\n",
+        "    <tr style=\"text-align: right;\">\n",
+        "      <th></th>\n",
+        "      <th>Date</th>\n",
+        "      <th>Open</th>\n",
+        "      <th>High</th>\n",
+        "      <th>Low</th>\n",
+        "      <th>Close</th>\n",
+        "      <th>Volume</th>\n",
+        "      <th>Adj Close</th>\n",
+        "    </tr>\n",
+        "  </thead>\n",
+        "  <tbody>\n",
+        "    <tr>\n",
+        "      <th>0</th>\n",
+        "      <td> 2012-06-01</td>\n",
+        "      <td> 569.16</td>\n",
+        "      <td> 590.00</td>\n",
+        "      <td> 548.50</td>\n",
+        "      <td> 584.00</td>\n",
+        "      <td> 14077000</td>\n",
+        "      <td> 581.50</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>1</th>\n",
+        "      <td> 2012-05-01</td>\n",
+        "      <td> 584.90</td>\n",
+        "      <td> 596.76</td>\n",
+        "      <td> 522.18</td>\n",
+        "      <td> 577.73</td>\n",
+        "      <td> 18827900</td>\n",
+        "      <td> 575.26</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>2</th>\n",
+        "      <td> 2012-04-02</td>\n",
+        "      <td> 601.83</td>\n",
+        "      <td> 644.00</td>\n",
+        "      <td> 555.00</td>\n",
+        "      <td> 583.98</td>\n",
+        "      <td> 28759100</td>\n",
+        "      <td> 581.48</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>3</th>\n",
+        "      <td> 2012-03-01</td>\n",
+        "      <td> 548.17</td>\n",
+        "      <td> 621.45</td>\n",
+        "      <td> 516.22</td>\n",
+        "      <td> 599.55</td>\n",
+        "      <td> 26486000</td>\n",
+        "      <td> 596.99</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>4</th>\n",
+        "      <td> 2012-02-01</td>\n",
+        "      <td> 458.41</td>\n",
+        "      <td> 547.61</td>\n",
+        "      <td> 453.98</td>\n",
+        "      <td> 542.44</td>\n",
+        "      <td> 22001000</td>\n",
+        "      <td> 540.12</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>5</th>\n",
+        "      <td> 2012-01-03</td>\n",
+        "      <td> 409.40</td>\n",
+        "      <td> 458.24</td>\n",
+        "      <td> 409.00</td>\n",
+        "      <td> 456.48</td>\n",
+        "      <td> 12949100</td>\n",
+        "      <td> 454.53</td>\n",
+        "    </tr>\n",
+        "  </tbody>\n",
+        "</table>\n",
+        "</div>"
+       ],
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 5,
+       "text": [
+        "         Date    Open    High     Low   Close    Volume  Adj Close\n",
+        "0  2012-06-01  569.16  590.00  548.50  584.00  14077000     581.50\n",
+        "1  2012-05-01  584.90  596.76  522.18  577.73  18827900     575.26\n",
+        "2  2012-04-02  601.83  644.00  555.00  583.98  28759100     581.48\n",
+        "3  2012-03-01  548.17  621.45  516.22  599.55  26486000     596.99\n",
+        "4  2012-02-01  458.41  547.61  453.98  542.44  22001000     540.12\n",
+        "5  2012-01-03  409.40  458.24  409.00  456.48  12949100     454.53"
+       ]
+      }
+     ],
+     "prompt_number": 5
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "lines = df._repr_html_().splitlines()\n",
+      "print \"\\n\".join(lines[:20])"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "output_type": "stream",
+       "stream": "stdout",
+       "text": [
+        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+        "<table border=\"1\" class=\"dataframe\">\n",
+        "  <thead>\n",
+        "    <tr style=\"text-align: right;\">\n",
+        "      <th></th>\n",
+        "      <th>Date</th>\n",
+        "      <th>Open</th>\n",
+        "      <th>High</th>\n",
+        "      <th>Low</th>\n",
+        "      <th>Close</th>\n",
+        "      <th>Volume</th>\n",
+        "      <th>Adj Close</th>\n",
+        "    </tr>\n",
+        "  </thead>\n",
+        "  <tbody>\n",
+        "    <tr>\n",
+        "      <th>0</th>\n",
+        "      <td> 2012-06-01</td>\n",
+        "      <td> 569.16</td>\n",
+        "      <td> 590.00</td>\n"
+       ]
+      }
+     ],
+     "prompt_number": 6
+    },
+    {
+     "cell_type": "heading",
+     "level": 3,
+     "metadata": {},
+     "source": [
+      "Exercise"
+     ]
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "Write a simple `Circle` Python class.  Don't even worry about properties such as radius, position, colors, etc. To help you out use the following representations (remember to wrap them in Python strings):\n",
+      "\n",
+      "For HTML:\n",
+      "\n",
+      "    &#x25CB;\n",
+      "\n",
+      "For SVG:\n",
+      "\n",
+      "    <svg width=\"100px\" height=\"100px\">\n",
+      "        <circle cx=\"50\" cy=\"50\" r=\"20\" stroke=\"black\" stroke-width=\"1\" fill=\"white\"/>\n",
+      "    </svg>\n",
+      "\n",
+      "For LaTeX (wrap with `$` and use a raw Python string):\n",
+      "\n",
+      "    \\bigcirc\n",
+      "\n",
+      "After you write the class, create an instance and then use `display_html`, `display_svg` and `display_latex` to display those representations.\n",
+      "\n",
+      "Tips : you can slightly tweek the representation to know from which `_repr_*_` method it came from. \n",
+      "For example in my solution the svg representation is blue, and the HTML one show \"`HTML`\" between brackets."
+     ]
+    },
+    {
+     "cell_type": "heading",
+     "level": 3,
+     "metadata": {},
+     "source": [
+      "Solution"
+     ]
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "Here is my simple `MyCircle` class:"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "%load soln/mycircle.py"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 8
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "Now create an instance and use the display methods:"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "c = MyCircle()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 11
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "display_html(c)"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "html": [
+        "&#x25CB; (<b>html</b>)"
+       ],
+       "metadata": {},
+       "output_type": "display_data"
+      }
+     ],
+     "prompt_number": 12
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "display_svg(c)"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "svg": [
+        "<svg width=\"100px\" height=\"100px\">\n",
+        "           <circle cx=\"50\" cy=\"50\" r=\"20\" stroke=\"black\" stroke-width=\"1\" fill=\"blue\"/>\n",
+        "        </svg>"
+       ]
+      }
+     ],
+     "prompt_number": 13
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "display_latex(c)"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "latex": [
+        "$\\bigcirc \\LaTeX$"
+       ],
+       "metadata": {},
+       "output_type": "display_data"
+      }
+     ],
+     "prompt_number": 14
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "display_javascript(c)"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "javascript": [
+        "alert('I am a circle!');"
+       ],
+       "metadata": {},
+       "output_type": "display_data"
+      }
+     ],
+     "prompt_number": 15
+    },
+    {
+     "cell_type": "heading",
+     "level": 2,
+     "metadata": {},
+     "source": [
+      "Adding IPython display support to existing objects"
+     ]
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "When you are directly writing your own classes, you can adapt them for display in IPython by following the above example.  But in practice, we often need to work with existing code we can't modify.  We now illustrate how to add these kinds of extended display capabilities to existing objects. To continue with our example above, we will add a PNG representation to our `Circle` class using Matplotlib."
+     ]
+    },
+    {
+     "cell_type": "heading",
+     "level": 3,
+     "metadata": {},
+     "source": [
+      "Model citizen: sympy"
+     ]
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "[SymPy](http://sympy.org) is another model citizen that defines rich representations of its object.\n",
+      "Unlike pandas above, sympy registers display formatters via IPython's display formatter API, rather than declaring `_repr_mime_` methods."
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "from sympy import Rational, pi, exp, I, symbols\n",
+      "x, y, z = symbols(\"x y z\")"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 16
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "r = Rational(3,2)*pi + exp(I*x) / (x**2 + y)\n",
+      "r"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 17,
+       "text": [
+        "3*pi/2 + exp(I*x)/(x**2 + y)"
+       ]
+      }
+     ],
+     "prompt_number": 17
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "SymPy provides an `init_printing` function that sets up advanced $\\LaTeX$\n",
+      "representations of its objects."
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "from sympy.interactive.printing import init_printing\n",
+      "init_printing()\n",
+      "r"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "latex": [
+        "$$\\frac{3}{2} \\pi + \\frac{e^{\\mathbf{\\imath} x}}{x^{2} + y}$$"
+       ],
+       "metadata": {},
+       "output_type": "pyout",
+       "png": "iVBORw0KGgoAAAANSUhEUgAAAFAAAAAlCAYAAADV/m7fAAAABHNCSVQICAgIfAhkiAAAA9xJREFU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\nifjCwUhTPWrTpk2bFuJflVvSLV1580UAAAAASUVORK5CYII=\n",
+       "prompt_number": 18,
+       "text": [
+        "        \u2148\u22c5x \n",
+        "3\u22c5\u03c0    \u212f    \n",
+        "\u2500\u2500\u2500 + \u2500\u2500\u2500\u2500\u2500\u2500\n",
+        " 2     2    \n",
+        "      x  + y"
+       ]
+      }
+     ],
+     "prompt_number": 18
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "To add a display method to an existing class, we must use IPython's display formatter API.  Here we show all of the available formatters:"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "ip = get_ipython()\n",
+      "for mime, formatter in ip.display_formatter.formatters.items():\n",
+      "    print '%24s : %s' % (mime, formatter.__class__.__name__)\n"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "output_type": "stream",
+       "stream": "stdout",
+       "text": [
+        "               text/html : HTMLFormatter\n",
+        "              image/jpeg : JPEGFormatter\n",
+        "           image/svg+xml : SVGFormatter\n",
+        "               image/png : PNGFormatter\n",
+        "  application/javascript : JavascriptFormatter\n",
+        "              text/latex : LatexFormatter\n",
+        "        application/json : JSONFormatter\n",
+        "              text/plain : PlainTextFormatter\n"
+       ]
+      }
+     ],
+     "prompt_number": 6
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "Let's grab the PNG formatter:"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "png_f = ip.display_formatter.formatters['image/png']"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 20
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "We will use the `for_type` method to register our display function."
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "png_f.for_type?"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 21
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "As the docstring describes, we need to define a function the takes the object as a parameter and returns the raw PNG data."
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "%matplotlib inline\n",
+      "import matplotlib.pyplot as plt"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 22
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "class AnotherCircle(object):\n",
+      "    def __init__(self, radius=1, center=(0,0), color='r'):\n",
+      "        self.radius = radius\n",
+      "        self.center = center\n",
+      "        self.color = color\n",
+      "    \n",
+      "    def __repr__(self):\n",
+      "        return \"<%s Circle with r=%s at %s>\" % (\n",
+      "                    self.color,\n",
+      "                    self.radius,\n",
+      "                    self.center,\n",
+      "                )\n",
+      "    \n",
+      "c = AnotherCircle()\n",
+      "c"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 23,
+       "text": [
+        "<r Circle with r=1 at (0, 0)>"
+       ]
+      }
+     ],
+     "prompt_number": 23
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "from IPython.core.pylabtools import print_figure\n",
+      "\n",
+      "def png_circle(circle):\n",
+      "    \"\"\"Render AnotherCircle to png data using matplotlib\"\"\"\n",
+      "    fig, ax = plt.subplots()\n",
+      "    patch = plt.Circle(circle.center,\n",
+      "                       radius=circle.radius,\n",
+      "                       fc=circle.color,\n",
+      "                       )\n",
+      "    ax.add_patch(patch)\n",
+      "    plt.axis('scaled')\n",
+      "    data = print_figure(fig, 'png')\n",
+      "    # We MUST close the figure, otherwise IPython's display machinery\n",
+      "    # will pick it up and send it as output, resulting in a double display\n",
+      "    plt.close(fig)\n",
+      "    return data"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 24
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "c = AnotherCircle()\n",
+      "print repr(png_circle(c)[:10])"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "output_type": "stream",
+       "stream": "stdout",
+       "text": [
+        "'\\x89PNG\\r\\n\\x1a\\n\\x00\\x00'\n"
+       ]
+      }
+     ],
+     "prompt_number": 27
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "Now we register the display function for the type:"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "png_f.for_type(AnotherCircle, png_circle)"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 28
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "Now all `Circle` instances have PNG representations!"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "c2 = AnotherCircle(radius=2, center=(1,0), color='g')\n",
+      "c2"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "png": 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KfPzvhv8VHYOI3Mzi/MX4Z8k/0dbeJjqKw7A4bHCy9iSe3PCkx99iR0TO8ey3z2Jvpedc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\nTkSuQmCC\n",
+       "prompt_number": 29,
+       "text": [
+        "<g Circle with r=2 at (1, 0)>"
+       ]
+      }
+     ],
+     "prompt_number": 29
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "display_png(c2)"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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KfPzvhv8VHYOI3Mzi/MX4Z8k/0dbeJjqKw7A4bHCy9iSe3PCkx99iR0TO8ey3z2Jvpedc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\nTkSuQmCC\n"
+      }
+     ],
+     "prompt_number": 30
+    },
+    {
+     "cell_type": "heading",
+     "level": 2,
+     "metadata": {},
+     "source": [
+      "return the object"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "# for demonstration purpose, I do the same with a circle that has no _repr_javascript method\n",
+      "class MyNoJSCircle(MyCircle):\n",
+      "    \n",
+      "    def _repr_javascript_(self):\n",
+      "        return\n",
+      "\n",
+      "cNoJS = MyNoJSCircle()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": []
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "Of course you can now still return the object, and this will use compute all the representations, store them in the notebook and show you the appropriate one."
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "cNoJS"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": []
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "Or just use `display(object)` if you are in a middle of a loop"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "for i in range(3):\n",
+      "    display(cNoJS)"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": []
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "Advantage of using `display()` versus `display_*()` is that all representation will be stored in the notebook document and notebook file, they are then availlable for other frontends or post-processing tool like `nbconvert`."
+     ]
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "Let's compare `display()` vs `display_html()` for our circle in the Notebook Web-app and we'll see later the difference in nbconvert."
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "print \"I should see a nice html circle in web-app, but\"\n",
+      "print \"nothing if the format I'm viewing the notebook in\"\n",
+      "print \"does not support html\"\n",
+      "display_html(cNoJS)"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": []
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "print \"Whatever the format I will see a representation\"\n",
+      "print \"of my circle\"\n",
+      "display(cNoJS)"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": []
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "print \"Same if I return the object\"\n",
+      "cNoJS"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": []
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "print \"But not if I print it\"\n",
+      "print cNoJS"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": []
+    }
+   ],
+   "metadata": {}
+  }
+ ]
+}
  No newline at end of file

examples/IPython Kernel/Background Jobs.ipynb

@@ -1,7 +1,6
 {
  "metadata": {
-  "name": "",
-  "signature": "sha256:481e128e553ec13e039f3e3f5e567cc3caffe391b78b9821ee883fb8770ebc82"
+  "name": "BackgroundJobs"
  },
  "nbformat": 3,
  "nbformat_minor": 0,
@@ -9,17 +8,11
   {
    "cells": [
     {
-     "cell_type": "heading",
-     "level": 1,
-     "metadata": {},
-     "source": [
-      "Background Jobs"
-     ]
-    },
-    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
+      "# Simple interactive bacgkround jobs with IPython\n",
+      "\n",
       "We start by loading the `backgroundjobs` library and defining a few trivial functions to illustrate things with."
      ]
     },
@@ -27,7 +20,6
      "cell_type": "code",
      "collapsed": false,
      "input": [
-      "from __future__ import print_function\n",
       "from IPython.lib import backgroundjobs as bg\n",
       "\n",
       "import sys\n",
@@ -47,9 +39,9
       "def printfunc(interval=1, reps=5):\n",
       "    for n in range(reps):\n",
       "        time.sleep(interval)\n",
-      "        print('In the background...', n)\n",
+      "        print 'In the background...', n\n",
       "        sys.stdout.flush()\n",
-      "    print('All done!')\n",
+      "    print 'All done!'\n",
       "    sys.stdout.flush()"
      ],
      "language": "python",
@@ -62,8 +54,8
      "metadata": {},
      "source": [
       "Now, we can create a job manager (called simply `jobs`) and use it to submit new jobs.\n",
-      "<br>\n",
-      "Run the cell below and wait a few seconds for the whole thing to finish, until you see the \"All done!\" printout."
+      "\n",
+      "Run the cell below, it will show when the jobs start. Wait a few seconds until you see the 'all done' completion message:"
      ]
     },
     {
@@ -75,12 +67,7
       "# Start a few jobs, the first one will have ID # 0\n",
       "jobs.new(sleepfunc, 4)\n",
       "jobs.new(sleepfunc, kw={'reps':2})\n",
-      "jobs.new('printfunc(1,3)')\n",
-      "\n",
-      "# This makes a couple of jobs which will die.  Let's keep a reference to\n",
-      "# them for easier traceback reporting later\n",
-      "diejob1 = jobs.new(diefunc, 1)\n",
-      "diejob2 = jobs.new(diefunc, 2)"
+      "jobs.new('printfunc(1,3)')"
      ],
      "language": "python",
      "metadata": {},
@@ -91,13 +78,46
        "text": [
         "Starting job # 0 in a separate thread.\n",
         "Starting job # 2 in a separate thread.\n",
-        "Starting job # 3 in a separate thread.\n",
-        "Starting job # 4 in a separate thread.\n",
-        "Starting job # 5 in a separate thread.\n"
+        "Starting job # 3 in a separate thread.\n"
+       ]
+      },
+      {
+       "output_type": "pyout",
+       "prompt_number": 10,
+       "text": [
+        "<BackgroundJob #3: printfunc(1,3)>"
+       ]
+      },
+      {
+       "output_type": "stream",
+       "stream": "stdout",
+       "text": [
+        "In the background... 0\n"
+       ]
+      },
+      {
+       "output_type": "stream",
+       "stream": "stdout",
+       "text": [
+        "In the background... 1\n"
+       ]
+      },
+      {
+       "output_type": "stream",
+       "stream": "stdout",
+       "text": [
+        "In the background... 2\n"
+       ]
+      },
+      {
+       "output_type": "stream",
+       "stream": "stdout",
+       "text": [
+        "All done!\n"
        ]
       }
      ],
-     "prompt_number": 2
+     "prompt_number": 10
     },
     {
      "cell_type": "markdown",
@@ -119,27 +139,15
        "output_type": "stream",
        "stream": "stdout",
        "text": [
-        "In the background... 0\n",
-        "Running jobs:"
-       ]
-      },
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "\n",
-        "0 : <function sleepfunc at 0x102cc6848>\n",
-        "2 : <function sleepfunc at 0x102cc6848>\n",
+        "Completed jobs:\n",
+        "0 : <function sleepfunc at 0x314f848>\n",
+        "2 : <function sleepfunc at 0x314f848>\n",
         "3 : printfunc(1,3)\n",
-        "5 : <function diefunc at 0x102cc68c0>\n",
-        "\n",
-        "Dead jobs:\n",
-        "4 : <function diefunc at 0x102cc68c0>\n",
         "\n"
        ]
       }
      ],
-     "prompt_number": 3
+     "prompt_number": 11
     },
     {
      "cell_type": "markdown",
@@ -152,14 +160,58
      "cell_type": "code",
      "collapsed": false,
      "input": [
-      "jobs[0].result\n",
-      "j0 = jobs[0]\n",
-      "j0.join?"
+      "jobs[0].result"
      ],
      "language": "python",
      "metadata": {},
-     "outputs": [],
-     "prompt_number": 4
+     "outputs": [
+      {
+       "output_type": "pyout",
+       "prompt_number": 12,
+       "text": [
+        "{'args': (), 'interval': 4, 'kwargs': {}}"
+       ]
+      }
+     ],
+     "prompt_number": 12
+    },
+    {
+     "cell_type": "heading",
+     "level": 2,
+     "metadata": {},
+     "source": [
+      "Errors and tracebacks"
+     ]
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "The jobs manager tries to help you with debugging:"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "# This makes a couple of jobs which will die.  Let's keep a reference to\n",
+      "# them for easier traceback reporting later\n",
+      "diejob1 = jobs.new(diefunc, 1)\n",
+      "diejob2 = jobs.new(diefunc, 2)"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "output_type": "stream",
+       "stream": "stdout",
+       "text": [
+        "Starting job # 4 in a separate thread.\n",
+        "Starting job # 5 in a separate thread.\n"
+       ]
+      }
+     ],
+     "prompt_number": 13
     },
     {
      "cell_type": "markdown",
@@ -184,21 +236,26
        "output_type": "stream",
        "stream": "stdout",
        "text": [
-        "In the background... 1\n",
-        "In the background... 2\n",
-        "All done!\n"
-       ]
-      },
-      {
-       "ename": "SyntaxError",
-       "evalue": "invalid syntax (<ipython-input-5-a90bd59af669>, line 1)",
-       "output_type": "pyerr",
-       "traceback": [
-        "\u001b[0;36m  File \u001b[0;32m\"<ipython-input-5-a90bd59af669>\"\u001b[0;36m, line \u001b[0;32m1\u001b[0m\n\u001b[0;31m    print \"Status of diejob1:\", diejob1.status\u001b[0m\n\u001b[0m                             ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n"
+        "Status of diejob1: Dead (Exception), call jobs.traceback() for details\n",
+        "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n",
+        "\u001b[1;31mException\u001b[0m                                 Traceback (most recent call last)\n",
+        "\u001b[1;32m/home/fperez/usr/opt/virtualenv/ipython-0.13.2/lib/python2.7/site-packages/IPython/lib/backgroundjobs.pyc\u001b[0m in \u001b[0;36mcall\u001b[1;34m(self)\u001b[0m\n",
+        "\u001b[0;32m    482\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
+        "\u001b[0;32m    483\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0mcall\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+        "\u001b[1;32m--> 484\u001b[1;33m         \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfunc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+        "\u001b[0m\n",
+        "\u001b[1;32m<ipython-input-1-fbbbd0d2a1c3>\u001b[0m in \u001b[0;36mdiefunc\u001b[1;34m(interval, *a, **kw)\u001b[0m\n",
+        "\u001b[0;32m     13\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mdiefunc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0minterval\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m2\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m*\u001b[0m\u001b[0ma\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkw\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+        "\u001b[0;32m     14\u001b[0m     \u001b[0mtime\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msleep\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0minterval\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+        "\u001b[1;32m---> 15\u001b[1;33m     \u001b[1;32mraise\u001b[0m \u001b[0mException\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"Dead job with interval %s\"\u001b[0m \u001b[1;33m%\u001b[0m \u001b[0minterval\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+        "\u001b[0m\u001b[0;32m     16\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
+        "\u001b[0;32m     17\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mprintfunc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0minterval\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mreps\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m5\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+        "\n",
+        "\u001b[1;31mException\u001b[0m: Dead job with interval 1\n"
        ]
       }
      ],
-     "prompt_number": 5
+     "prompt_number": 14
     },
     {
      "cell_type": "markdown",
@@ -220,44 +277,44
        "output_type": "stream",
        "stream": "stdout",
        "text": [
-        "Traceback for: <BackgroundJob #4: <function diefunc at 0x102cc68c0>>\n",
-        "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n",
-        "\u001b[0;31mException\u001b[0m                                 Traceback (most recent call last)\n",
-        "\u001b[0;32m/Users/bgranger/Documents/Computing/IPython/code/ipython/IPython/lib/backgroundjobs.pyc\u001b[0m in \u001b[0;36mcall\u001b[0;34m(self)\u001b[0m\n",
-        "\u001b[1;32m    489\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
-        "\u001b[1;32m    490\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mcall\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-        "\u001b[0;32m--> 491\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+        "Traceback for: <BackgroundJob #4: <function diefunc at 0x314f668>>\n",
+        "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n",
+        "\u001b[1;31mException\u001b[0m                                 Traceback (most recent call last)\n",
+        "\u001b[1;32m/home/fperez/usr/opt/virtualenv/ipython-0.13.2/lib/python2.7/site-packages/IPython/lib/backgroundjobs.pyc\u001b[0m in \u001b[0;36mcall\u001b[1;34m(self)\u001b[0m\n",
+        "\u001b[0;32m    482\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
+        "\u001b[0;32m    483\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0mcall\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+        "\u001b[1;32m--> 484\u001b[1;33m         \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfunc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
         "\u001b[0m\n",
-        "\u001b[0;32m<ipython-input-1-7391f8ae281b>\u001b[0m in \u001b[0;36mdiefunc\u001b[0;34m(interval, *a, **kw)\u001b[0m\n",
-        "\u001b[1;32m     14\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mdiefunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minterval\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkw\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-        "\u001b[1;32m     15\u001b[0m     \u001b[0mtime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msleep\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minterval\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-        "\u001b[0;32m---> 16\u001b[0;31m     \u001b[0;32mraise\u001b[0m \u001b[0mException\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Dead job with interval %s\"\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0minterval\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-        "\u001b[0m\u001b[1;32m     17\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
-        "\u001b[1;32m     18\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mprintfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minterval\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mreps\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m5\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+        "\u001b[1;32m<ipython-input-1-fbbbd0d2a1c3>\u001b[0m in \u001b[0;36mdiefunc\u001b[1;34m(interval, *a, **kw)\u001b[0m\n",
+        "\u001b[0;32m     13\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mdiefunc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0minterval\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m2\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m*\u001b[0m\u001b[0ma\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkw\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+        "\u001b[0;32m     14\u001b[0m     \u001b[0mtime\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msleep\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0minterval\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+        "\u001b[1;32m---> 15\u001b[1;33m     \u001b[1;32mraise\u001b[0m \u001b[0mException\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"Dead job with interval %s\"\u001b[0m \u001b[1;33m%\u001b[0m \u001b[0minterval\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+        "\u001b[0m\u001b[0;32m     16\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
+        "\u001b[0;32m     17\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mprintfunc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0minterval\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mreps\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m5\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
         "\n",
-        "\u001b[0;31mException\u001b[0m: Dead job with interval 1\n",
+        "\u001b[1;31mException\u001b[0m: Dead job with interval 1\n",
         "\n",
-        "Traceback for: <BackgroundJob #5: <function diefunc at 0x102cc68c0>>\n",
-        "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n",
-        "\u001b[0;31mException\u001b[0m                                 Traceback (most recent call last)\n",
-        "\u001b[0;32m/Users/bgranger/Documents/Computing/IPython/code/ipython/IPython/lib/backgroundjobs.pyc\u001b[0m in \u001b[0;36mcall\u001b[0;34m(self)\u001b[0m\n",
-        "\u001b[1;32m    489\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
-        "\u001b[1;32m    490\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mcall\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-        "\u001b[0;32m--> 491\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+        "Traceback for: <BackgroundJob #5: <function diefunc at 0x314f668>>\n",
+        "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n",
+        "\u001b[1;31mException\u001b[0m                                 Traceback (most recent call last)\n",
+        "\u001b[1;32m/home/fperez/usr/opt/virtualenv/ipython-0.13.2/lib/python2.7/site-packages/IPython/lib/backgroundjobs.pyc\u001b[0m in \u001b[0;36mcall\u001b[1;34m(self)\u001b[0m\n",
+        "\u001b[0;32m    482\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
+        "\u001b[0;32m    483\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0mcall\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+        "\u001b[1;32m--> 484\u001b[1;33m         \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfunc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
         "\u001b[0m\n",
-        "\u001b[0;32m<ipython-input-1-7391f8ae281b>\u001b[0m in \u001b[0;36mdiefunc\u001b[0;34m(interval, *a, **kw)\u001b[0m\n",
-        "\u001b[1;32m     14\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mdiefunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minterval\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkw\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-        "\u001b[1;32m     15\u001b[0m     \u001b[0mtime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msleep\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minterval\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-        "\u001b[0;32m---> 16\u001b[0;31m     \u001b[0;32mraise\u001b[0m \u001b[0mException\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Dead job with interval %s\"\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0minterval\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-        "\u001b[0m\u001b[1;32m     17\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
-        "\u001b[1;32m     18\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mprintfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minterval\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mreps\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m5\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+        "\u001b[1;32m<ipython-input-1-fbbbd0d2a1c3>\u001b[0m in \u001b[0;36mdiefunc\u001b[1;34m(interval, *a, **kw)\u001b[0m\n",
+        "\u001b[0;32m     13\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mdiefunc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0minterval\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m2\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m*\u001b[0m\u001b[0ma\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkw\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+        "\u001b[0;32m     14\u001b[0m     \u001b[0mtime\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msleep\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0minterval\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+        "\u001b[1;32m---> 15\u001b[1;33m     \u001b[1;32mraise\u001b[0m \u001b[0mException\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"Dead job with interval %s\"\u001b[0m \u001b[1;33m%\u001b[0m \u001b[0minterval\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+        "\u001b[0m\u001b[0;32m     16\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
+        "\u001b[0;32m     17\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mprintfunc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0minterval\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mreps\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m5\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
         "\n",
-        "\u001b[0;31mException\u001b[0m: Dead job with interval 2\n",
+        "\u001b[1;31mException\u001b[0m: Dead job with interval 2\n",
         "\n"
        ]
       }
      ],
-     "prompt_number": 6
+     "prompt_number": 15
     },
     {
      "cell_type": "markdown",
@@ -284,7 +341,7
        ]
       }
      ],
-     "prompt_number": 7
+     "prompt_number": 16
     },
     {
      "cell_type": "markdown",
@@ -302,13 +359,13
      "language": "python",
      "metadata": {},
      "outputs": [],
-     "prompt_number": 8
+     "prompt_number": 17
     },
     {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
-      "It's easy to wait on a job:"
+      "Jobs have a `.join` method that lets you wait on their thread for completion:"
      ]
     },
     {
@@ -316,11 +373,7
      "collapsed": false,
      "input": [
       "j = jobs.new(sleepfunc, 2)\n",
-      "print(\"Will wait for j now...\")\n",
-      "sys.stdout.flush()\n",
-      "j.join()\n",
-      "print(\"Result from j:\")\n",
-      "j.result"
+      "j.join?"
      ],
      "language": "python",
      "metadata": {},
@@ -329,27 +382,22
        "output_type": "stream",
        "stream": "stdout",
        "text": [
-        "Starting job # 0 in a separate thread.\n",
-        "Will wait for j now...\n"
-       ]
-      },
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "Result from j:\n"
-       ]
-      },
-      {
-       "metadata": {},
-       "output_type": "pyout",
-       "prompt_number": 9,
-       "text": [
-        "{'args': (), 'interval': 2, 'kwargs': {}}"
+        "Starting job # 0 in a separate thread.\n"
        ]
       }
      ],
-     "prompt_number": 9
+     "prompt_number": 18
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "## Exercise\n",
+      "\n",
+      "1. Start a new job that calls `sleepfunc` with a 5-second wait\n",
+      "2. Print a short message that indicates you are waiting (note: you'll need to flush stdout to see that print output appear).\n",
+      "3. Wait on the job and then print its result."
+     ]
     }
    ],
    "metadata": {}

examples/IPython Kernel/Index.ipynb

@@ -1,7 +1,7
 {
  "metadata": {
   "name": "",
-  "signature": "sha256:b0cbc510e3a2cd2333bc169f96a4e2e29d892cef880222c00f53b067f2d4f257"
+  "signature": "sha256:ee769d05a7e195e4b8546ef9a866ef03e59bff2f0fcba499d168c06b516aa79a"
  },
  "nbformat": 3,
  "nbformat_minor": 0,
@@ -50,7 +50,11
      "metadata": {},
      "source": [
       "* [Cell Magics](Cell Magics.ipynb)\n",
-      "* [Script Magics](Script Magics.ipynb)"
+      "* [Script Magics](Script Magics.ipynb)\n",
+      "* [Rich Output](Rich Output.ipynb)\n",
+      "* [Custom Display Logic](Custom Display Logic.ipynb)\n",
+      "* [Plotting in the Notebook](Plotting in the Notebook.ipynb)\n",
+      "* [Capturing Output](Capturing Output.ipynb)"
      ]
     },
     {
@@ -65,7 +69,10
      "cell_type": "markdown",
      "metadata": {},
      "source": [
-      "* [Background Jobs](Background Jobs.ipynb)"
+      "* [Background Jobs](Background Jobs.ipynb)\n",
+      "* [Trapezoid Rule](Trapezoid Rule.ipynb)\n",
+      "* [SymPy](SymPy.ipynb)\n",
+      "* [Raw Input in the Notebook](Raw Input in the Notebook.ipynb)"
      ]
     },
     {