Merge branch 'notebook-examples'.

Clean up notebook examples directory and add introductory notebooks
for new users to learn the system.

docs/examples/notebooks/00_notebook_tour.ipynb

@@ -0,0 +1,920 b''
+{
+ "metadata": {
+  "name": "00_notebook_tour"
+ }, 
+ "nbformat": 2, 
+ "worksheets": [
+  {
+   "cells": [
+    {
+     "cell_type": "markdown", 
+     "source": [
+      "# A brief tour of the IPython notebook", 
+      "", 
+      "This document will give you a brief tour of the capabilities of the IPython notebook.  ", 
+      "You can view its contents by scrolling around, or execute each cell by typing `Shift-Enter`.", 
+      "After you conclude this brief high-level tour, you should read the accompanying notebook ", 
+      "titled `01_notebook_introduction`, which takes a more step-by-step approach to the features of the", 
+      "system.  ", 
+      "", 
+      "The rest of the notebooks in this directory illustrate various other aspects and ", 
+      "capabilities of the IPython notebook; some of them may require additional libraries to be executed.", 
+      "", 
+      "", 
+      "The first thing you need to know is that you are still controlling the same old IPython you're used to,", 
+      "so things like shell aliases and magic commands still work:"
+     ]
+    }, 
+    {
+     "cell_type": "code", 
+     "collapsed": false, 
+     "input": [
+      "pwd"
+     ], 
+     "language": "python", 
+     "outputs": [
+      {
+       "output_type": "pyout", 
+       "prompt_number": 1, 
+       "text": [
+        "u'/home/fperez/ipython/ipython/docs/examples/notebooks'"
+       ]
+      }
+     ], 
+     "prompt_number": 1
+    }, 
+    {
+     "cell_type": "code", 
+     "collapsed": false, 
+     "input": [
+      "ls"
+     ], 
+     "language": "python", 
+     "outputs": [
+      {
+       "output_type": "stream", 
+       "stream": "stdout", 
+       "text": [
+        "00_notebook_tour.ipynb          sympy.ipynb", 
+        "01_notebook_introduction.ipynb  sympy_quantum_computing.ipynb", 
+        "dense_coding.ipynb              text_analysis.ipynb", 
+        "display_protocol.ipynb          text_analysis.py", 
+        "formatting.ipynb                titles.txt", 
+        "python-logo.svg                 trapezoid_rule.ipynb"
+       ]
+      }
+     ], 
+     "prompt_number": 2
+    }, 
+    {
+     "cell_type": "code", 
+     "collapsed": false, 
+     "input": [
+      "message = 'The IPython notebook is great!'", 
+      "# note: the echo command does not run on Windows, it's a unix command.", 
+      "!echo $message"
+     ], 
+     "language": "python", 
+     "outputs": [
+      {
+       "output_type": "stream", 
+       "stream": "stdout", 
+       "text": [
+        "The IPython notebook is great!"
+       ]
+      }
+     ], 
+     "prompt_number": 3
+    }, 
+    {
+     "cell_type": "markdown", 
+     "source": [
+      "Plots with matplotlib: do *not* execute the next below if you do not have matplotlib installed or didn't start up ", 
+      "this notebook with the `--pylab` option, as the code will not work."
+     ]
+    }, 
+    {
+     "cell_type": "code", 
+     "collapsed": false, 
+     "input": [
+      "x = linspace(0, 3*pi, 500)", 
+      "plot(x, sin(x**2))", 
+      "title('A simple chirp');"
+     ], 
+     "language": "python", 
+     "outputs": [
+      {
+       "output_type": "display_data", 
+       "png": 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wZcoUR8LXhfffB6ZPd77BdCMKSp/X0wfUnmJFERTpOx0qYoUOT19lwTVeTz9q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\nAwODbgRD+gYGBgbdCIb0DQwMDLoR/j8U8QHdaUyIsAAAAABJRU5ErkJggg==\n"
+      }
+     ], 
+     "prompt_number": 5
+    }, 
+    {
+     "cell_type": "markdown", 
+     "source": [
+      "You can paste blocks of input with prompt markers, such as those from", 
+      "[the official Python tutorial](http://docs.python.org/tutorial/interpreter.html#interactive-mode)"
+     ]
+    }, 
+    {
+     "cell_type": "code", 
+     "collapsed": false, 
+     "input": [
+      ">>> the_world_is_flat = 1", 
+      ">>> if the_world_is_flat:", 
+      "...     print \"Be careful not to fall off!\""
+     ], 
+     "language": "python", 
+     "outputs": [
+      {
+       "output_type": "stream", 
+       "stream": "stdout", 
+       "text": [
+        "Be careful not to fall off!"
+       ]
+      }
+     ], 
+     "prompt_number": 6
+    }, 
+    {
+     "cell_type": "markdown", 
+     "source": [
+      "Errors are shown in informative ways:"
+     ]
+    }, 
+    {
+     "cell_type": "code", 
+     "collapsed": false, 
+     "input": [
+      "%run non_existent_file"
+     ], 
+     "language": "python", 
+     "outputs": [
+      {
+       "output_type": "stream", 
+       "stream": "stderr", 
+       "text": [
+        "ERROR: File `non_existent_file.py` not found."
+       ]
+      }
+     ], 
+     "prompt_number": 7
+    }, 
+    {
+     "cell_type": "code", 
+     "collapsed": false, 
+     "input": [
+      "x = 1", 
+      "y = 4", 
+      "z = y/(1-x)"
+     ], 
+     "language": "python", 
+     "outputs": [
+      {
+       "ename": "ZeroDivisionError", 
+       "evalue": "integer division or modulo by zero", 
+       "output_type": "pyerr", 
+       "traceback": [
+        "<span class=\"ansired\">---------------------------------------------------------------------------</span>\n<span class=\"ansired\">ZeroDivisionError</span>                         Traceback (most recent call last)", 
+        "<span class=\"ansigreen\">/home/fperez/ipython/ipython/docs/examples/notebooks/&lt;ipython-input-8-dc39888fd1d2&gt;</span> in <span class=\"ansicyan\">&lt;module&gt;</span><span class=\"ansiblue\">()</span>\n<span class=\"ansigreen\">      1</span> x <span class=\"ansiyellow\">=</span> <span class=\"ansicyan\">1</span><span class=\"ansiyellow\"></span>\n<span class=\"ansigreen\">      2</span> y <span class=\"ansiyellow\">=</span> <span class=\"ansicyan\">4</span><span class=\"ansiyellow\"></span>\n<span class=\"ansigreen\">----&gt; 3</span><span class=\"ansiyellow\"> </span>z <span class=\"ansiyellow\">=</span> y<span class=\"ansiyellow\">/</span><span class=\"ansiyellow\">(</span><span class=\"ansicyan\">1</span><span class=\"ansiyellow\">-</span>x<span class=\"ansiyellow\">)</span><span class=\"ansiyellow\"></span>\n", 
+        "<span class=\"ansired\">ZeroDivisionError</span>: integer division or modulo by zero"
+       ]
+      }
+     ], 
+     "prompt_number": 8
+    }, 
+    {
+     "cell_type": "markdown", 
+     "source": [
+      "When IPython needs to display additional information (such as providing details on an object via `x?`", 
+      "it will automatically invoke a pager at the bottom of the screen:"
+     ]
+    }, 
+    {
+     "cell_type": "code", 
+     "collapsed": true, 
+     "input": [
+      "magic"
+     ], 
+     "language": "python", 
+     "outputs": [], 
+     "prompt_number": 9
+    }, 
+    {
+     "cell_type": "markdown", 
+     "source": [
+      "## Non-blocking output of kernel", 
+      "", 
+      "If you execute the next cell, you will see the output arriving as it is generated, not all at the end."
+     ]
+    }, 
+    {
+     "cell_type": "code", 
+     "collapsed": false, 
+     "input": [
+      "import time, sys", 
+      "for i in range(8):", 
+      "    print i,", 
+      "    time.sleep(0.5)"
+     ], 
+     "language": "python", 
+     "outputs": [
+      {
+       "output_type": "stream", 
+       "stream": "stdout", 
+       "text": [
+        "0 "
+       ]
+      }, 
+      {
+       "output_type": "stream", 
+       "stream": "stdout", 
+       "text": [
+        "1 "
+       ]
+      }, 
+      {
+       "output_type": "stream", 
+       "stream": "stdout", 
+       "text": [
+        "2 "
+       ]
+      }, 
+      {
+       "output_type": "stream", 
+       "stream": "stdout", 
+       "text": [
+        "3 "
+       ]
+      }, 
+      {
+       "output_type": "stream", 
+       "stream": "stdout", 
+       "text": [
+        "4 "
+       ]
+      }, 
+      {
+       "output_type": "stream", 
+       "stream": "stdout", 
+       "text": [
+        "5 "
+       ]
+      }, 
+      {
+       "output_type": "stream", 
+       "stream": "stdout", 
+       "text": [
+        "6 "
+       ]
+      }, 
+      {
+       "output_type": "stream", 
+       "stream": "stdout", 
+       "text": [
+        "7"
+       ]
+      }
+     ], 
+     "prompt_number": 10
+    }, 
+    {
+     "cell_type": "markdown", 
+     "source": [
+      "## Clean crash and restart", 
+      "", 
+      "We call the low-level system libc.time routine with the wrong argument via", 
+      "ctypes to segfault the Python interpreter:"
+     ]
+    }, 
+    {
+     "cell_type": "code", 
+     "collapsed": true, 
+     "input": [
+      "from ctypes import CDLL", 
+      "# This will crash a linux system; equivalent calls can be made on Windows or Mac", 
+      "libc = CDLL(\"libc.so.6\") ", 
+      "libc.time(-1)  # BOOM!!"
+     ], 
+     "language": "python", 
+     "outputs": [], 
+     "prompt_number": "*"
+    }, 
+    {
+     "cell_type": "markdown", 
+     "source": [
+      "## Markdown cells can contain formatted text and code", 
+      "", 
+      "You can *italicize*, **boldface**", 
+      "", 
+      "* build", 
+      "* lists", 
+      "", 
+      "and embed code meant for illustration instead of execution in Python:", 
+      "", 
+      "    def f(x):", 
+      "        \"\"\"a docstring\"\"\"", 
+      "        return x**2", 
+      "", 
+      "or other languages:", 
+      "", 
+      "    if (i=0; i<n; i++) {", 
+      "      printf(\"hello %d\\n\", i);", 
+      "      x += 4;", 
+      "    }"
+     ]
+    }, 
+    {
+     "cell_type": "markdown", 
+     "source": [
+      "Courtesy of MathJax, you can include mathematical expressions both inline: ", 
+      "$e^{i\\pi} + 1 = 0$  and displayed:", 
+      "", 
+      "$$e^x=\\sum_{i=0}^\\infty \\frac{1}{i!}x^i$$"
+     ]
+    }, 
+    {
+     "cell_type": "markdown", 
+     "source": [
+      "## Rich displays: include anyting a browser can show", 
+      "", 
+      "Note that we have an actual protocol for this, see the `display_protocol` notebook for further details.", 
+      "", 
+      "### Images"
+     ]
+    }, 
+    {
+     "cell_type": "code", 
+     "collapsed": false, 
+     "input": [
+      "from IPython.core.display import Image", 
+      "Image(filename='../../source/_static/logo.png')"
+     ], 
+     "language": "python", 
+     "outputs": [
+      {
+       "output_type": "pyout", 
+       "png": 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
+       "prompt_number": 1, 
+       "text": [
+        "&lt;IPython.core.display.Image at 0x451f710&gt;"
+       ]
+      }
+     ], 
+     "prompt_number": 1
+    }, 
+    {
+     "cell_type": "markdown", 
+     "source": [
+      "An image can also be displayed from raw data or a url"
+     ]
+    }, 
+    {
+     "cell_type": "code", 
+     "collapsed": false, 
+     "input": [
+      "Image('http://python.org/images/python-logo.gif')"
+     ], 
+     "language": "python", 
+     "outputs": [
+      {
+       "html": [
+        "<img src=\"http://python.org/images/python-logo.gif\" />"
+       ], 
+       "output_type": "pyout", 
+       "prompt_number": 2, 
+       "text": [
+        "&lt;IPython.core.display.Image at 0x451f6d0&gt;"
+       ]
+      }
+     ], 
+     "prompt_number": 2
+    }, 
+    {
+     "cell_type": "markdown", 
+     "source": [
+      "SVG images are also supported out of the box (since modern browsers do a good job of rendering them):"
+     ]
+    }, 
+    {
+     "cell_type": "code", 
+     "collapsed": false, 
+     "input": [
+      "from IPython.core.display import SVG", 
+      "SVG(filename='python-logo.svg')"
+     ], 
+     "language": "python", 
+     "outputs": [
+      {
+       "output_type": "pyout", 
+       "prompt_number": 3, 
+       "svg": [
+        "<svg height=\"115.02pt\" id=\"svg2\" inkscape:version=\"0.43\" sodipodi:docbase=\"/home/sdeibel\" sodipodi:docname=\"logo-python-generic.svg\" sodipodi:version=\"0.32\" version=\"1.0\" width=\"388.84pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:cc=\"http://web.resource.org/cc/\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:inkscape=\"http://www.inkscape.org/namespaces/inkscape\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\" xmlns:sodipodi=\"http://inkscape.sourceforge.net/DTD/sodipodi-0.dtd\" xmlns:svg=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">", 
+        "  <metadata id=\"metadata2193\">", 
+        "    <rdf:RDF>", 
+        "      <cc:Work rdf:about=\"\">", 
+        "        <dc:format>image/svg+xml</dc:format>", 
+        "        <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>", 
+        "      </cc:Work>", 
+        "    </rdf:RDF>", 
+        "  </metadata>", 
+        "  <sodipodi:namedview bordercolor=\"#666666\" borderopacity=\"1.0\" id=\"base\" inkscape:current-layer=\"svg2\" inkscape:cx=\"243.02499\" inkscape:cy=\"71.887497\" inkscape:pageopacity=\"0.0\" inkscape:pageshadow=\"2\" inkscape:window-height=\"543\" inkscape:window-width=\"791\" inkscape:window-x=\"0\" inkscape:window-y=\"0\" inkscape:zoom=\"1.4340089\" pagecolor=\"#ffffff\"/>", 
+        "  <defs id=\"defs4\">", 
+        "    <linearGradient id=\"linearGradient2795\">", 
+        "      <stop id=\"stop2797\" offset=\"0\" style=\"stop-color:#b8b8b8;stop-opacity:0.49803922\"/>", 
+        "      <stop id=\"stop2799\" offset=\"1\" style=\"stop-color:#7f7f7f;stop-opacity:0\"/>", 
+        "    </linearGradient>", 
+        "    <linearGradient id=\"linearGradient2787\">", 
+        "      <stop id=\"stop2789\" offset=\"0\" style=\"stop-color:#7f7f7f;stop-opacity:0.5\"/>", 
+        "      <stop id=\"stop2791\" offset=\"1\" style=\"stop-color:#7f7f7f;stop-opacity:0\"/>", 
+        "    </linearGradient>", 
+        "    <linearGradient id=\"linearGradient3676\">", 
+        "      <stop id=\"stop3678\" offset=\"0\" style=\"stop-color:#b2b2b2;stop-opacity:0.5\"/>", 
+        "      <stop id=\"stop3680\" offset=\"1\" style=\"stop-color:#b3b3b3;stop-opacity:0\"/>", 
+        "    </linearGradient>", 
+        "    <linearGradient id=\"linearGradient3236\">", 
+        "      <stop id=\"stop3244\" offset=\"0\" style=\"stop-color:#f4f4f4;stop-opacity:1\"/>", 
+        "      <stop id=\"stop3240\" offset=\"1\" style=\"stop-color:#ffffff;stop-opacity:1\"/>", 
+        "    </linearGradient>", 
+        "    <linearGradient id=\"linearGradient4671\">", 
+        "      <stop id=\"stop4673\" offset=\"0\" style=\"stop-color:#ffd43b;stop-opacity:1\"/>", 
+        "      <stop id=\"stop4675\" offset=\"1\" style=\"stop-color:#ffe873;stop-opacity:1\"/>", 
+        "    </linearGradient>", 
+        "    <linearGradient id=\"linearGradient4689\">", 
+        "      <stop id=\"stop4691\" offset=\"0\" style=\"stop-color:#5a9fd4;stop-opacity:1\"/>", 
+        "      <stop id=\"stop4693\" offset=\"1\" style=\"stop-color:#306998;stop-opacity:1\"/>", 
+        "    </linearGradient>", 
+        "    <linearGradient gradientTransform=\"translate(100.2702,99.61116)\" gradientUnits=\"userSpaceOnUse\" id=\"linearGradient2987\" x1=\"224.23996\" x2=\"-65.308502\" xlink:href=\"#linearGradient4671\" y1=\"144.75717\" y2=\"144.75717\"/>", 
+        "    <linearGradient gradientTransform=\"translate(100.2702,99.61116)\" gradientUnits=\"userSpaceOnUse\" id=\"linearGradient2990\" x1=\"172.94208\" x2=\"26.670298\" xlink:href=\"#linearGradient4689\" y1=\"77.475983\" y2=\"76.313133\"/>", 
+        "    <linearGradient gradientTransform=\"translate(100.2702,99.61116)\" gradientUnits=\"userSpaceOnUse\" id=\"linearGradient2587\" x1=\"172.94208\" x2=\"26.670298\" xlink:href=\"#linearGradient4689\" y1=\"77.475983\" y2=\"76.313133\"/>", 
+        "    <linearGradient gradientTransform=\"translate(100.2702,99.61116)\" gradientUnits=\"userSpaceOnUse\" id=\"linearGradient2589\" x1=\"224.23996\" x2=\"-65.308502\" xlink:href=\"#linearGradient4671\" y1=\"144.75717\" y2=\"144.75717\"/>", 
+        "    <linearGradient gradientTransform=\"translate(100.2702,99.61116)\" gradientUnits=\"userSpaceOnUse\" id=\"linearGradient2248\" x1=\"172.94208\" x2=\"26.670298\" xlink:href=\"#linearGradient4689\" y1=\"77.475983\" y2=\"76.313133\"/>", 
+        "    <linearGradient gradientTransform=\"translate(100.2702,99.61116)\" gradientUnits=\"userSpaceOnUse\" id=\"linearGradient2250\" x1=\"224.23996\" x2=\"-65.308502\" xlink:href=\"#linearGradient4671\" y1=\"144.75717\" y2=\"144.75717\"/>", 
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+        "    <path d=\"M 110.46717 132.28575 A 48.948284 8.6066771 0 1 1  12.570599,132.28575 A 48.948284 8.6066771 0 1 1  110.46717 132.28575 z\" id=\"path1894\" style=\"opacity:0.44382019;fill:url(#radialGradient1480);fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:20;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1\" transform=\"matrix(0.73406,0,0,0.809524,16.24958,27.00935)\"/>", 
+        "  </g>", 
+        "</svg>"
+       ], 
+       "text": [
+        "&lt;IPython.core.display.SVG at 0x451f810&gt;"
+       ]
+      }
+     ], 
+     "prompt_number": 3
+    }, 
+    {
+     "cell_type": "markdown", 
+     "source": [
+      "### Video"
+     ]
+    }, 
+    {
+     "cell_type": "markdown", 
+     "source": [
+      "And more exotic objects can also be displayed, as long as their representation supports ", 
+      "the IPython display protocol.", 
+      "", 
+      "For example, videos hosted externally on YouTube are easy to load (and writing a similar wrapper for other", 
+      "hosted content is trivial):"
+     ]
+    }, 
+    {
+     "cell_type": "code", 
+     "collapsed": false, 
+     "input": [
+      "from IPython.lib.display import YouTubeVideo", 
+      "YouTubeVideo('1j_HxD4iLn8')"
+     ], 
+     "language": "python", 
+     "outputs": [
+      {
+       "html": [
+        "", 
+        "            <iframe", 
+        "                width=\"400\"", 
+        "                height=\"300\"", 
+        "                src=\"http://www.youtube.com/embed/1j_HxD4iLn8\"", 
+        "                frameborder=\"0\"", 
+        "                allowfullscreen", 
+        "            ></iframe>", 
+        "        "
+       ], 
+       "output_type": "pyout", 
+       "prompt_number": 4, 
+       "text": [
+        "&lt;IPython.lib.display.YouTubeVideo at 0x451f990&gt;"
+       ]
+      }
+     ], 
+     "prompt_number": 4
+    }, 
+    {
+     "cell_type": "markdown", 
+     "source": [
+      "Using the nascent video capabilities of modern browsers, you may also be able to display local", 
+      "videos.  At the moment this doesn't work very well in all browsers, so it may or may not work for you;", 
+      "we will continue testing this and looking for ways to make it more robust.  ", 
+      "", 
+      "The following cell loads a local file called  `animation.m4v`, encodes the raw video as base64 for http", 
+      "transport, and uses the HTML5 video tag to load it. On Chrome 15 it works correctly, displaying a control", 
+      "bar at the bottom with a play/pause button and a location slider."
+     ]
+    }, 
+    {
+     "cell_type": "code", 
+     "collapsed": false, 
+     "input": [
+      "video = open(\"animation.m4v\", \"rb\").read()", 
+      "video_encoded = video.encode(\"base64\")", 
+      "video_tag = '<video controls alt=\"test\" src=\"data:video/x-m4v;base64,{0}\">'.format(video_encoded)", 
+      "HTML(data=video_tag)"
+     ], 
+     "language": "python", 
+     "outputs": [
+      {
+       "html": [
+        "<video controls alt=\"test\" src=\"data:video/x-m4v;base64,AAAAHGZ0eXBNNFYgAAACAGlzb21pc28yYXZjMQAAAAhmcmVlAAAqiW1kYXQAAAKMBgX//4jcRem9", 
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+        "ABQAAA05AAACqQAAAl8AAAITAAACiwAAAh8AAAIvAAABiAAAAVsAAAE5AAABWwAAAUQAAAFmAAAA", 
+        "/QAAAUEAAAEaAAABKQAAAQAAAADlAAAAzQAAAGBzdGNvAAAAAAAAABQAAAAsAAANZQAAEA4AABJt", 
+        "AAAUgAAAFwsAABkqAAAbWQAAHOEAAB48AAAfdQAAINAAACIUAAAjegAAJHcAACW4AAAm0gAAJ/sA", 
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+        "AAAAAAAALGlsc3QAAAAkqXRvbwAAABxkYXRhAAAAAQAAAABMYXZmNTIuMTExLjA=", 
+        "\">"
+       ], 
+       "output_type": "pyout", 
+       "prompt_number": 11, 
+       "text": [
+        "&lt;IPython.core.display.HTML at 0x4584550&gt;"
+       ]
+      }
+     ], 
+     "prompt_number": 11
+    }, 
+    {
+     "cell_type": "markdown", 
+     "source": [
+      "### External sites", 
+      "", 
+      "You can even embed an entire page from another site in an iframe; for example this is today's Wikipedia", 
+      "page for mobile users:"
+     ]
+    }, 
+    {
+     "cell_type": "code", 
+     "collapsed": false, 
+     "input": [
+      "from IPython.core.display import HTML", 
+      "HTML('<iframe src=http://en.mobile.wikipedia.org/?useformat=mobile width=700 height=350>')"
+     ], 
+     "language": "python", 
+     "outputs": [
+      {
+       "html": [
+        "<iframe src=http://en.mobile.wikipedia.org/?useformat=mobile width=700 height=350>"
+       ], 
+       "output_type": "pyout", 
+       "prompt_number": 5, 
+       "text": [
+        "&lt;IPython.core.display.HTML at 0x4531e10&gt;"
+       ]
+      }
+     ], 
+     "prompt_number": 5
+    }, 
+    {
+     "cell_type": "markdown", 
+     "source": [
+      "### Mathematics", 
+      "", 
+      "And we also support the display of mathematical expressions typeset in LaTeX, which is rendered", 
+      "in the browser thanks to the [MathJax library](http://mathjax.org).  ", 
+      "", 
+      "Note that this is *different* from the above examples.  Above we were typing mathematical expressions", 
+      "in Markdown cells (along with normal text) and letting the browser render them; now we are displaying", 
+      "the output of a Python computation as a LaTeX expression wrapped by the `Math()` object so the browser", 
+      "renders it:"
+     ]
+    }, 
+    {
+     "cell_type": "code", 
+     "collapsed": false, 
+     "input": [
+      "from IPython.core.display import Math", 
+      "Math(r'$F(k) = \\int_{-\\infty}^{\\infty} f(x) e^{2\\pi i k} dx$')"
+     ], 
+     "language": "python", 
+     "outputs": [
+      {
+       "latex": [
+        "$F(k) = \\int_{-\\infty}^{\\infty} f(x) e^{2\\pi i k} dx$"
+       ], 
+       "output_type": "pyout", 
+       "prompt_number": 8, 
+       "text": [
+        "&lt;IPython.core.display.Math at 0x45840d0&gt;"
+       ]
+      }
+     ], 
+     "prompt_number": 8
+    }, 
+    {
+     "cell_type": "markdown", 
+     "source": [
+      "# Loading external codes", 
+      "* Drag and drop a ``.py`` in the dashboard", 
+      "* Use ``%loadpy`` with any local or remote url: [the Matplotlib Gallery!](http://matplotlib.sourceforge.net/gallery.html)", 
+      "", 
+      "In this notebook we've kept the output saved so you can see the result, but you should run the next", 
+      "cell yourself (with an active internet connection)."
+     ]
+    }, 
+    {
+     "cell_type": "code", 
+     "collapsed": true, 
+     "input": [
+      "%loadpy http://matplotlib.sourceforge.net/mpl_examples/pylab_examples/integral_demo.py"
+     ], 
+     "language": "python", 
+     "outputs": [], 
+     "prompt_number": 8
+    }, 
+    {
+     "cell_type": "code", 
+     "collapsed": false, 
+     "input": [
+      "#!/usr/bin/env python", 
+      "", 
+      "# implement the example graphs/integral from pyx", 
+      "from pylab import *", 
+      "from matplotlib.patches import Polygon", 
+      "", 
+      "def func(x):", 
+      "    return (x-3)*(x-5)*(x-7)+85", 
+      "", 
+      "ax = subplot(111)", 
+      "", 
+      "a, b = 2, 9 # integral area", 
+      "x = arange(0, 10, 0.01)", 
+      "y = func(x)", 
+      "plot(x, y, linewidth=1)", 
+      "", 
+      "# make the shaded region", 
+      "ix = arange(a, b, 0.01)", 
+      "iy = func(ix)", 
+      "verts = [(a,0)] + zip(ix,iy) + [(b,0)]", 
+      "poly = Polygon(verts, facecolor='0.8', edgecolor='k')", 
+      "ax.add_patch(poly)", 
+      "", 
+      "text(0.5 * (a + b), 30,", 
+      "     r\"$\\int_a^b f(x)\\mathrm{d}x$\", horizontalalignment='center',", 
+      "     fontsize=20)", 
+      "", 
+      "axis([0,10, 0, 180])", 
+      "figtext(0.9, 0.05, 'x')", 
+      "figtext(0.1, 0.9, 'y')", 
+      "ax.set_xticks((a,b))", 
+      "ax.set_xticklabels(('a','b'))", 
+      "ax.set_yticks([])", 
+      "show()"
+     ], 
+     "language": "python", 
+     "outputs": [
+      {
+       "output_type": "display_data", 
+       "png": 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+      }
+     ], 
+     "prompt_number": 9
+    }, 
+    {
+     "cell_type": "code", 
+     "collapsed": true, 
+     "input": [], 
+     "language": "python", 
+     "outputs": [], 
+     "prompt_number": "&nbsp;"
+    }
+   ]
+  }
+ ]
+}
  No newline at end of file

docs/examples/notebooks/01_notebook_introduction.ipynb

@@ -0,0 +1,421 b''
+{
+ "metadata": {
+  "name": "01_notebook_introduction"
+ }, 
+ "nbformat": 2, 
+ "worksheets": [
+  {
+   "cells": [
+    {
+     "cell_type": "markdown", 
+     "source": [
+      "# An introduction to the IPython notebook", 
+      "", 
+      "The IPython web notebook is a frontend that allows for new modes", 
+      "of interaction with IPython: this web-based interface allows you to execute Python and IPython", 
+      "commands in each input cell just like you would at the IPython terminal or Qt console, but you can", 
+      "also save an entire session as a document in a file with the `.ipynb` extension.", 
+      "", 
+      "The document you are reading now is precisely an example of one such notebook, and we will show you", 
+      "here how to best use this new interface.", 
+      "", 
+      "The first thing to understand is that a notebook consists of a sequence of 'cells' that can contain ", 
+      "either text (such as this one) or code meant for execution (such as the next one):", 
+      "", 
+      "* Text cells can be written using [Markdown syntax](http://daringfireball.net/projects/markdown/syntax) ", 
+      "(in a future release we will also provide support for reStructuredText and Sphinx integration, and we ", 
+      "welcome help from interested contributors to make that happen).", 
+      "", 
+      "* Code cells take IPython input (i.e. Python code, `%magics`, `!system calls`, etc) like IPython at", 
+      "the terminal or at the Qt Console.  The only difference is that in order to execute a cell, you *must*", 
+      "use `Shift-Enter`, as pressing `Enter` will add a new line of text to the cell.  When you type ", 
+      "`Shift-Enter`, the cell content is executed, output displayed and a new cell is created below.  Try", 
+      "it now by putting your cursor on the next cell and typing `Shift-Enter`:"
+     ]
+    }, 
+    {
+     "cell_type": "code", 
+     "collapsed": false, 
+     "input": [
+      "\"This is the new IPython notebook\""
+     ], 
+     "language": "python", 
+     "outputs": [
+      {
+       "output_type": "pyout", 
+       "prompt_number": 4, 
+       "text": [
+        "'This is the new IPython notebook'"
+       ]
+      }
+     ], 
+     "prompt_number": 4
+    }, 
+    {
+     "cell_type": "markdown", 
+     "source": [
+      "You can re-execute the same cell over and over as many times as you want.  Simply put your", 
+      "cursor in the cell again, edit at will, and type `Shift-Enter` to execute.  ", 
+      "", 
+      "**Tip:** A cell can also be executed", 
+      "*in-place*, where IPython executes its content but leaves the cursor in the same cell.  This is done by", 
+      "typing `Ctrl-Enter` instead, and is useful if you want to quickly run a command to check something ", 
+      "before tping the real content you want to leave in the cell. For example, in the next cell, try issuing", 
+      "several system commands in-place with `Ctrl-Enter`, such as `pwd` and then `ls`:"
+     ]
+    }, 
+    {
+     "cell_type": "code", 
+     "collapsed": false, 
+     "input": [
+      "ls"
+     ], 
+     "language": "python", 
+     "outputs": [
+      {
+       "output_type": "stream", 
+       "stream": "stdout", 
+       "text": [
+        "00_notebook_tour.ipynb          formatting.ipynb  sympy_quantum_computing.ipynb", 
+        "01_notebook_introduction.ipynb  python-logo.svg   trapezoid_rule.ipynb", 
+        "display_protocol.ipynb          sympy.ipynb"
+       ]
+      }
+     ], 
+     "prompt_number": 3
+    }, 
+    {
+     "cell_type": "markdown", 
+     "source": [
+      "In a cell, you can type anything from a single python expression to an arbitrarily long amount of code ", 
+      "(although for reasons of readability, you should probably limit this to a few dozen lines):"
+     ]
+    }, 
+    {
+     "cell_type": "code", 
+     "collapsed": false, 
+     "input": [
+      "def f(x):", 
+      "    \"\"\"My function", 
+      "    x : parameter\"\"\"", 
+      "    ", 
+      "    return x+1", 
+      "", 
+      "print \"f(3) = \", f(3)"
+     ], 
+     "language": "python", 
+     "outputs": [
+      {
+       "output_type": "stream", 
+       "stream": "stdout", 
+       "text": [
+        "f(3) =  4"
+       ]
+      }
+     ], 
+     "prompt_number": 11
+    }, 
+    {
+     "cell_type": "markdown", 
+     "source": [
+      "## User interface", 
+      "", 
+      "When you start a new notebook server with `ipytyhon notebook`, your", 
+      "browser should open into the *Dashboard*, a page listing all notebooks", 
+      "available in the current directory as well as letting you create new", 
+      "notebooks.  In this page, you can also drag and drop existing `.py` files", 
+      "over the file list to import them as notebooks (see the manual for ", 
+      "[further details on how these files are ", 
+      "interpreted](http://ipython.org/ipython-doc/stable/interactive/htmlnotebook.html)).", 
+      "", 
+      "Once you open an existing notebook (like this one) or create a new one,", 
+      "you are in the main notebook interface, which consists of a main editing", 
+      "area (where these cells are contained) as well as a collapsible left panel, ", 
+      "a permanent header area at the top, and a pager that rises from the", 
+      "bottom when needed and can be collapsed again."
+     ]
+    }, 
+    {
+     "cell_type": "markdown", 
+     "source": [
+      "### Main editing area", 
+      "", 
+      "Here, you can move with the arrow keys or using the ", 
+      "scroll bars.  The cursor enters code cells immediately, but only selects", 
+      "text (markdown) cells without entering in them; to enter a text cell,", 
+      "use `Enter`, and `Shift-Enter` to exit it again (just like to execute a ", 
+      "code cell)."
+     ]
+    }, 
+    {
+     "cell_type": "markdown", 
+     "source": [
+      "### Left panel", 
+      "", 
+      "This panel contains a number of panes that can be", 
+      "collapsed vertically by clicking on their title bar, and the whole panel", 
+      "can also be collapsed by clicking on the vertical divider (note that you", 
+      "can not *drag* the divider, for now you can only click on it).", 
+      "", 
+      "The *Notebook* section contains actions that pertain to the whole notebook,", 
+      "such as downloading the current notebook either in its original format", 
+      "or as a `.py` script, and printing it.  When you click the `Print` button,", 
+      "a new HTML page opens with a static copy of the notebook; you can then", 
+      "use your web browser's mechanisms to save or print this file.", 
+      "", 
+      "The *Cell* section lets you manipulate individual cells, and the names should ", 
+      "be fairly self-explanatory.", 
+      "", 
+      "The *Kernel* section lets you signal the kernel executing your code. ", 
+      "`Interrupt` does the equivalent of hitting `Ctrl-C` at a terminal, and", 
+      "`Restart` fully kills the kernel process and starts a fresh one.  Obviously", 
+      "this means that all your previous variables are destroyed, but it also", 
+      "makes it easy to get a fresh kernel in which to re-execute a notebook, perhaps", 
+      "after changing an extension module for which Python's `reload` mechanism", 
+      "does not work.   If you check the 'Kill kernel upon exit' box, when you ", 
+      "close the page IPython will automatically shut down the running kernel;", 
+      "otherwise the kernels won't close until you stop the whole ", 
+      "", 
+      "The *Help* section contains links to the documentation of some projects", 
+      "closely related to IPython as well as the minimal keybindings you need to", 
+      "know.  But you should use `Ctrl-m h` (or click the `QuickHelp` button at", 
+      "the top) and learn some of the other keybindings, as it will make your ", 
+      "workflow much more fluid and efficient.", 
+      "", 
+      "The *Configuration* section at the bottom lets you change some values", 
+      "related to the display of tooltips and the behavior of the tab completer."
+     ]
+    }, 
+    {
+     "cell_type": "markdown", 
+     "source": [
+      "### Header bar", 
+      "", 
+      "The header area at the top allows you to rename an existing ", 
+      "notebook and open up a short help tooltip.  This area also indicates", 
+      "with a red **Busy** mark on the right whenever the kernel is busy executing", 
+      "code."
+     ]
+    }, 
+    {
+     "cell_type": "markdown", 
+     "source": [
+      "### The pager at the bottom", 
+      "", 
+      "Whenever IPython needs to display additional ", 
+      "information, such as when you type `somefunction?` in a cell, the notebook", 
+      "opens a pane at the bottom where this information is shown.  You can keep", 
+      "this pager pane open for reference (it doesn't block input in the main area)", 
+      "or dismiss it by clicking on its divider bar."
+     ]
+    }, 
+    {
+     "cell_type": "markdown", 
+     "source": [
+      "### Tab completion and tooltips", 
+      "", 
+      "The notebook uses the same underlying machinery for tab completion that ", 
+      "IPython uses at the terminal, but displays the information differently.", 
+      "Whey you complete with the `Tab` key, IPython shows a drop list with all", 
+      "available completions.  If you type more characters while this list is open,", 
+      "IPython automatically eliminates from the list options that don't match the", 
+      "new characters; once there is only one option left you can hit `Tab` once", 
+      "more (or `Enter`) to complete.  You can also select the completion you", 
+      "want with the arrow keys or the mouse, and then hit `Enter`.", 
+      "", 
+      "In addition, if you hit `Tab` inside of open parentheses, IPython will ", 
+      "search for the docstring of the last object left of the parens and will", 
+      "display it on a tooltip. For example, type `list(<TAB>` and you will", 
+      "see the docstring for the builtin `list` constructor:"
+     ]
+    }, 
+    {
+     "cell_type": "code", 
+     "collapsed": true, 
+     "input": [
+      "# Position your cursor after the ( and hit the Tab key:", 
+      "list("
+     ], 
+     "language": "python", 
+     "outputs": [], 
+     "prompt_number": "&nbsp;"
+    }, 
+    {
+     "cell_type": "markdown", 
+     "source": [
+      "## The frontend/kernel model", 
+      "", 
+      "The IPython notebook works on a client/server model where an *IPython kernel*", 
+      "starts in a separate process and acts as a server to executes the code you type,", 
+      "while the web browser provides acts as a client, providing a front end environment", 
+      "for you to type.  But one kernel is capable of simultaneously talking to more than", 
+      "one client, and they do not all need to be of the same kind.  All IPython frontends", 
+      "are capable of communicating with a kernel, and any number of them can be active", 
+      "at the same time.  In addition to allowing you to have, for example, more than one", 
+      "browser session active, this lets you connect clients with different user interface features.", 
+      "", 
+      "For example, you may want to connect a Qt console to your kernel and use it as a help", 
+      "browser, calling `??` on objects in the Qt console (whose pager is more flexible than the", 
+      "one in the notebook).  You can start a new Qt console connected to your current kernel by ", 
+      "using the `%qtconsole` magic, this will automatically detect the necessary connection", 
+      "information.", 
+      "", 
+      "If you want to open one manually, or want to open a text console from a terminal, you can ", 
+      "get your kernel's connection information with the `%connect_info` magic:"
+     ]
+    }, 
+    {
+     "cell_type": "code", 
+     "collapsed": false, 
+     "input": [
+      "%connect_info"
+     ], 
+     "language": "python", 
+     "outputs": [
+      {
+       "output_type": "stream", 
+       "stream": "stdout", 
+       "text": [
+        "{", 
+        "  &quot;stdin_port&quot;: 39725, ", 
+        "  &quot;ip&quot;: &quot;127.0.0.1&quot;, ", 
+        "  &quot;hb_port&quot;: 52883, ", 
+        "  &quot;key&quot;: &quot;e7b658da-b60b-42f6-b6b0-5098f5d2e533&quot;, ", 
+        "  &quot;shell_port&quot;: 51742, ", 
+        "  &quot;iopub_port&quot;: 41869", 
+        "}", 
+        "", 
+        "Paste the above JSON into a file, and connect with:", 
+        "    $&gt; ipython &lt;app&gt; --existing &lt;file&gt;", 
+        "or, if you are local, you can connect with just:", 
+        "    $&gt; ipython &lt;app&gt; --existing kernel-faac4917-d0e0-467a-8467-d3c4d86a3ecc.json ", 
+        "or even just:", 
+        "    $&gt; ipython &lt;app&gt; --existing ", 
+        "if this is the most recent IPython session you have started."
+       ]
+      }
+     ], 
+     "prompt_number": 8
+    }, 
+    {
+     "cell_type": "markdown", 
+     "source": [
+      "## The kernel's `raw_input` and `%debug`", 
+      "", 
+      "The one feature the notebook currently doesn't support as a client is the ability to send data to the kerne's", 
+      "standard input socket.  That is, if the kernel requires information to be typed interactively by calling the", 
+      "builtin `raw_input` function, the notebook will be blocked.  This happens for example if you run a script", 
+      "that queries interactively for parameters, and very importantly, is how the interactive IPython debugger that ", 
+      "activates when you type `%debug` works.", 
+      "", 
+      "So, in order to be able to use `%debug` or anything else that requires `raw_input`, you can either use a Qt ", 
+      "console or a terminal console:", 
+      "", 
+      "- From the notebook, typing `%qtconsole` finds all the necessary connection data for you.", 
+      "- From the terminal, first type `%connect_info` while still in the notebook, and then copy and paste the ", 
+      "resulting information, using `qtconsole` or `console` depending on which type of client you want."
+     ]
+    }, 
+    {
+     "cell_type": "markdown", 
+     "source": [
+      "## Display of complex objects", 
+      "", 
+      "As the 'tour' notebook shows, the IPython notebook has fairly sophisticated display capabilities.  In addition", 
+      "to the examples there, you can study the `display_protocol` notebook in this same examples folder, to ", 
+      "learn how to customize arbitrary objects (in your own code or external libraries) to display in the notebook", 
+      "in any way you want, including graphical forms or mathematical expressions."
+     ]
+    }, 
+    {
+     "cell_type": "markdown", 
+     "source": [
+      "## Plotting support", 
+      "", 
+      "As we've explained already, the notebook is just another frontend talking to the same IPython kernel that", 
+      "you're already familiar with, so the same options for plotting support apply.", 
+      "", 
+      "If you start the notebook with `--pylab`, you will get matplotlib's floating, interactive windows and you", 
+      "can call the `display` function to paste figures into the notebook document.  If you start it with ", 
+      "`--pylab inline`, all plots will appear inline automatically.  In this regard, the notebook works identically", 
+      "to the Qt console.", 
+      "", 
+      "Note that if you start the notebook server with pylab support, *all* kernels are automatically started in", 
+      "pylab mode and with the same choice of backend (i.e. floating windows or inline figures).  But you can also", 
+      "start the notebook server simply by typing `ipython notebook`, and then selectively turn on pylab support ", 
+      "only for the notebooks you want by using the `%pylab` magic (see its docstring for details)."
+     ]
+    }, 
+    {
+     "cell_type": "code", 
+     "collapsed": false, 
+     "input": [
+      "%pylab inline", 
+      "plot(rand(100))"
+     ], 
+     "language": "python", 
+     "outputs": [
+      {
+       "output_type": "stream", 
+       "stream": "stdout", 
+       "text": [
+        "", 
+        "Welcome to pylab, a matplotlib-based Python environment [backend: module://IPython.zmq.pylab.backend_inline].", 
+        "For more information, type &apos;help(pylab)&apos;."
+       ]
+      }, 
+      {
+       "output_type": "pyout", 
+       "prompt_number": 12, 
+       "text": [
+        "[&lt;matplotlib.lines.Line2D at 0x43a2890&gt;]"
+       ]
+      }, 
+      {
+       "output_type": "display_data", 
+       "png": 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KENI/dkzdg4/aoskrBQ+Ya9OYpuCp/w5kB1k7O0nQMmkFr0Lwfgp+dJTc1GgKm/szBwYI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\nWXuGgto0Y8fyPy8Kgn/nHf57cSj4zZu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+      }
+     ], 
+     "prompt_number": 12
+    }, 
+    {
+     "cell_type": "markdown", 
+     "source": [
+      "## Security", 
+      "", 
+      "By default the notebook only listens on localhost, so it does not expose your computer to attacks coming from", 
+      "the internet.  But the basic notebook does not require any authentication, so if you are in a multiuser", 
+      "computer where others can see local ports you should at least protect the notebook with a password.", 
+      "", 
+      "Furthermore, you can require the notebook to encrypt all communications by using SSL and making all connections", 
+      "using the https protocol instead of plain http.  This is a good idea if you decide to run your notebook on", 
+      "addresses that are visible from the internet.  For further details on how to configure this, see the", 
+      "[security section](http://ipython.org/ipython-doc/stable/interactive/htmlnotebook.html#security) of the ", 
+      "manual.", 
+      "", 
+      "Finally, note that you can also run a notebook with the `--read-only` flag, which lets you provide access", 
+      "to your notebook documents to others without letting them execute code (which can be useful to broadcast", 
+      "a computation to colleagues or students, for example).  The read-only flag behaves differently depending", 
+      "on whether the server has a password or not:", 
+      "", 
+      "- Passwordless server: users directly see all notebooks in read-only mode.", 
+      "- Password-protected server: users can see all notebooks in read-only mode, but a login button is available", 
+      "and once a user authenticates, he or she obtains write/execute privileges.", 
+      "", 
+      "The first case above makes it easy to broadcast on the fly an existing notebook by simply starting a *second* ", 
+      "notebook server in the same directory as the first, but in read-only mode.  This can be done without having", 
+      "to configure a password first (which requires calling a hashing function and editing a configuration file)."
+     ]
+    }, 
+    {
+     "cell_type": "code", 
+     "collapsed": true, 
+     "input": [], 
+     "language": "python", 
+     "outputs": [], 
+     "prompt_number": "&nbsp;"
+    }
+   ]
+  }
+ ]
+}
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IPython/frontend/html/notebook/notebookapp.py

@@ -361,9 +361,11 b' class NotebookApp(BaseIPythonApplication):'
     def start(self):
         ip = self.ip if self.ip else '[all ip addresses on your system]'
         proto = 'https' if self.certfile else 'http'
-        self.log.info("The IPython Notebook is running at: %s://%s:%i" % (proto,
-                                                                          ip,
-                                                                          self.port))
+        info = self.log.info
+        info("The IPython Notebook is running at: %s://%s:%i" % 
+             (proto, ip, self.port) )
+        info("Use Control-C to stop this server and shut down all kernels.")
+
         if self.open_browser:
             ip = self.ip or '127.0.0.1'
             b = lambda : webbrowser.open("%s://%s:%i" % (proto, ip, self.port),

docs/examples/notebooks/display_protocol.ipynb

@@ -1,379 +1,378 b''
 {
-    "metadata": {
-        "name": "display_protocol"
+ "metadata": {
+  "name": "display_protocol"
+ }, 
+ "nbformat": 2, 
+ "worksheets": [
+  {
+   "cells": [
+    {
+     "cell_type": "markdown", 
+     "source": [
+      "# Using the IPython display protocol for your own objects", 
+      "", 
+      "IPython extends the idea of the ``__repr__`` method in Python to support multiple representations for a given", 
+      "object, which clients can use to display the object according to their capabilities.  An object can return multiple", 
+      "representations of itself by implementing special methods, and you can also define at runtime custom display ", 
+      "functions for existing objects whose methods you can't or won't modify.  In this notebook, we show how both approaches work.", 
+      "", 
+      "<br/>", 
+      "**Note:** this notebook has had all output cells stripped out so we can include it in the IPython documentation with ", 
+      "a minimal file size.  You'll need to manually execute the cells to see the output (you can run all of them with the ", 
+      "\"Run All\" button, or execute each individually).  You must start this notebook with", 
+      "<pre>", 
+      "ipython notebook --pylab inline", 
+      "</pre>", 
+      "", 
+      "to ensure pylab support is available for plots.", 
+      "", 
+      "## Custom-built classes with dedicated ``_repr_*_`` methods", 
+      "", 
+      "In our first example, we illustrate how objects can expose directly to IPython special representations of", 
+      "themselves, by providing methods such as ``_repr_svg_``, ``_repr_png_``, ``_repr_latex_``, etc.  For a full", 
+      "list of the special ``_repr_*_`` methods supported, see the code in ``IPython.core.displaypub``.", 
+      "", 
+      "As an illustration, we build a class that holds data generated by sampling a Gaussian distribution with given mean ", 
+      "and variance.  The class can display itself in a variety of ways: as a LaTeX expression or as an image in PNG or SVG ", 
+      "format.  Each frontend can then decide which representation it can handle.", 
+      "Further, we illustrate how to expose directly to the user the ability to directly access the various alternate ", 
+      "representations (since by default displaying the object itself will only show one, and which is shown will depend on the ", 
+      "required representations that even cache necessary data in cases where it may be expensive to compute.", 
+      "", 
+      "The next cell defines the Gaussian class:"
+     ]
     }, 
-    "nbformat": 2, 
-    "worksheets": [
-        {
-            "cells": [
-                {
-                    "cell_type": "markdown", 
-                    "source": [
-                        "# Using the IPython display protocol for your own objects", 
-                        "", 
-                        "IPython extends the idea of the ``__repr__`` method in Python to support multiple representations for a given", 
-                        "object, which clients can use to display the object according to their capabilities.  An object can return multiple", 
-                        "representations of itself by implementing special methods, and you can also define at runtime custom display ", 
-                        "functions for existing objects whose methods you can't or won't modify.  In this notebook, we show how both approaches work.", 
-                        "", 
-                        "<br/>", 
-                        "**Note:** this notebook has had all output cells stripped out so we can include it in the IPython documentation with ", 
-                        "a minimal file size.  You'll need to manually execute the cells to see the output (you can run all of them with the ", 
-                        "\"Run All\" button, or execute each individually).  You must start this notebook with", 
-                        "<pre>", 
-                        "ipython notebook --pylab inline", 
-                        "</pre>", 
-                        "", 
-                        "to ensure pylab support is available for plots.", 
-                        "", 
-                        "## Custom-built classes with dedicated ``_repr_*_`` methods", 
-                        "", 
-                        "In our first example, we illustrate how objects can expose directly to IPython special representations of", 
-                        "themselves, by providing methods such as ``_repr_svg_``, ``_repr_png_``, ``_repr_latex_``, etc.  For a full", 
-                        "list of the special ``_repr_*_`` methods supported, see the code in ``IPython.core.displaypub``.", 
-                        "", 
-                        "As an illustration, we build a class that holds data generated by sampling a Gaussian distribution with given mean ", 
-                        "and variance.  The class can display itself in a variety of ways: as a LaTeX expression or as an image in PNG or SVG ", 
-                        "format.  Each frontend can then decide which representation it can handle.", 
-                        "Further, we illustrate how to expose directly to the user the ability to directly access the various alternate ", 
-                        "representations (since by default displaying the object itself will only show one, and which is shown will depend on the ", 
-                        "required representations that even cache necessary data in cases where it may be expensive to compute.", 
-                        "", 
-                        "The next cell defines the Gaussian class:"
-                    ]
-                }, 
-                {
-                    "cell_type": "code", 
-                    "collapsed": true, 
-                    "input": [
-                        "from IPython.lib.pylabtools import print_figure", 
-                        "from IPython.core.display import Image, SVG, Math", 
-                        "", 
-                        "class Gaussian(object):", 
-                        "    \"\"\"A simple object holding data sampled from a Gaussian distribution.", 
-                        "    \"\"\"", 
-                        "    def __init__(self, mean=0, std=1, size=1000):", 
-                        "        self.data = np.random.normal(mean, std, size)", 
-                        "        self.mean = mean", 
-                        "        self.std = std", 
-                        "        self.size = size", 
-                        "        # For caching plots that may be expensive to compute", 
-                        "        self._png_data = None", 
-                        "        self._svg_data = None", 
-                        "        ", 
-                        "    def _figure_data(self, format):", 
-                        "        fig, ax = plt.subplots()", 
-                        "        ax.plot(self.data, 'o')", 
-                        "        ax.set_title(self._repr_latex_())", 
-                        "        data = print_figure(fig, format)", 
-                        "        # We MUST close the figure, otherwise IPython's display machinery", 
-                        "        # will pick it up and send it as output, resulting in a double display", 
-                        "        plt.close(fig)", 
-                        "        return data", 
-                        "    ", 
-                        "    # Here we define the special repr methods that provide the IPython display protocol", 
-                        "    # Note that for the two figures, we cache the figure data once computed.", 
-                        "    ", 
-                        "    def _repr_png_(self):", 
-                        "        if self._png_data is None:", 
-                        "            self._png_data = self._figure_data('png')", 
-                        "        return self._png_data", 
-                        "", 
-                        "", 
-                        "    def _repr_svg_(self):", 
-                        "        if self._svg_data is None:", 
-                        "            self._svg_data = self._figure_data('svg')", 
-                        "        return self._svg_data", 
-                        "    ", 
-                        "    def _repr_latex_(self):", 
-                        "        return r'$\\mathcal{N}(\\mu=%.2g, \\sigma=%.2g),\\ N=%d$' % (self.mean,", 
-                        "                                                                 self.std, self.size)", 
-                        "    ", 
-                        "    # We expose as properties some of the above reprs, so that the user can see them", 
-                        "    # directly (since otherwise the client dictates which one it shows by default)", 
-                        "    @property", 
-                        "    def png(self):", 
-                        "        return Image(self._repr_png_(), embed=True)", 
-                        "    ", 
-                        "    @property", 
-                        "    def svg(self):", 
-                        "        return SVG(self._repr_svg_())", 
-                        "        ", 
-                        "    @property", 
-                        "    def latex(self):", 
-                        "        return Math(self._repr_svg_())", 
-                        "    ", 
-                        "    # An example of using a property to display rich information, in this case", 
-                        "    # the histogram of the distribution.  We've hardcoded the format to be png", 
-                        "    # in this case, but in production code it would be trivial to make it an option", 
-                        "    @property", 
-                        "    def hist(self):", 
-                        "        fig, ax = plt.subplots()", 
-                        "        ax.hist(self.data, bins=100)", 
-                        "        ax.set_title(self._repr_latex_())", 
-                        "        data = print_figure(fig, 'png')", 
-                        "        plt.close(fig)", 
-                        "        return Image(data, embed=True)"
-                    ], 
-                    "language": "python", 
-                    "outputs": [], 
-                    "prompt_number": 1
-                }, 
-                {
-                    "cell_type": "markdown", 
-                    "source": [
-                        "Now, we create an instance of the Gaussian distribution, whose default representation will be its LaTeX form:"
-                    ]
-                }, 
-                {
-                    "cell_type": "code", 
-                    "collapsed": true, 
-                    "input": [
-                        "x = Gaussian()", 
-                        "x"
-                    ], 
-                    "language": "python", 
-                    "outputs": [], 
-                    "prompt_number": 2
-                }, 
-                {
-                    "cell_type": "markdown", 
-                    "source": [
-                        "We can view the data in png or svg formats:"
-                    ]
-                }, 
-                {
-                    "cell_type": "code", 
-                    "collapsed": true, 
-                    "input": [
-                        "x.png"
-                    ], 
-                    "language": "python", 
-                    "outputs": [], 
-                    "prompt_number": 3
-                }, 
-                {
-                    "cell_type": "code", 
-                    "collapsed": true, 
-                    "input": [
-                        "x.svg"
-                    ], 
-                    "language": "python", 
-                    "outputs": [], 
-                    "prompt_number": 4
-                }, 
-                {
-                    "cell_type": "markdown", 
-                    "source": [
-                        "Since IPython only displays by default as an ``Out[]`` cell the result of the last computation, we can use the", 
-                        "``display()`` function to show  more than one representation in a single cell:"
-                    ]
-                }, 
-                {
-                    "cell_type": "code", 
-                    "collapsed": true, 
-                    "input": [
-                        "display(x.png)", 
-                        "display(x.svg)"
-                    ], 
-                    "language": "python", 
-                    "outputs": [], 
-                    "prompt_number": 5
-                }, 
-                {
-                    "cell_type": "markdown", 
-                    "source": [
-                        "Now let's create a new Gaussian with different parameters"
-                    ]
-                }, 
-                {
-                    "cell_type": "code", 
-                    "collapsed": true, 
-                    "input": [
-                        "x2 = Gaussian(0.5, 0.2, 2000)", 
-                        "x2"
-                    ], 
-                    "language": "python", 
-                    "outputs": [], 
-                    "prompt_number": 6
-                }, 
-                {
-                    "cell_type": "markdown", 
-                    "source": [
-                        "We can easily compare them by displaying their histograms"
-                    ]
-                }, 
-                {
-                    "cell_type": "code", 
-                    "collapsed": true, 
-                    "input": [
-                        "display(x.hist)", 
-                        "display(x2.hist)"
-                    ], 
-                    "language": "python", 
-                    "outputs": [], 
-                    "prompt_number": 7
-                }, 
-                {
-                    "cell_type": "markdown", 
-                    "source": [
-                        "## Adding IPython display support to existing objects", 
-                        "", 
-                        "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.", 
-                        "We will use the numpy polynomials and change their default representation to be a formatted", 
-                        "LaTeX expression.", 
-                        "", 
-                        "First, consider how a numpy polynomial object renders by default:"
-                    ]
-                }, 
-                {
-                    "cell_type": "code", 
-                    "collapsed": true, 
-                    "input": [
-                        "p = np.polynomial.Polynomial([1,2,3], [-10, 10])", 
-                        "p"
-                    ], 
-                    "language": "python", 
-                    "outputs": [], 
-                    "prompt_number": 8
-                }, 
-                {
-                    "cell_type": "markdown", 
-                    "source": [
-                        "Next, we define a function that pretty-prints a polynomial as a LaTeX string:"
-                    ]
-                }, 
-                {
-                    "cell_type": "code", 
-                    "collapsed": true, 
-                    "input": [
-                        "def poly2latex(p):", 
-                        "    terms = ['%.2g' % p.coef[0]]", 
-                        "    if len(p) > 1:", 
-                        "        term = 'x'", 
-                        "        c = p.coef[1]", 
-                        "        if c!=1:", 
-                        "            term = ('%.2g ' % c) + term", 
-                        "        terms.append(term)", 
-                        "    if len(p) > 2:", 
-                        "        for i in range(2, len(p)):", 
-                        "            term = 'x^%d' % i", 
-                        "            c = p.coef[i]", 
-                        "            if c!=1:", 
-                        "                term = ('%.2g ' % c) + term", 
-                        "            terms.append(term)", 
-                        "    px = '$P(x)=%s$' % '+'.join(terms)", 
-                        "    dom = r', domain: $[%.2g,\\ %.2g]$' % tuple(p.domain)", 
-                        "    win = r', window: $[%.2g,\\ %.2g]$' % tuple(p.window)", 
-                        "    return px+dom+win"
-                    ], 
-                    "language": "python", 
-                    "outputs": [], 
-                    "prompt_number": 9
-                }, 
-                {
-                    "cell_type": "markdown", 
-                    "source": [
-                        "This produces, on our polynomial ``p``, the following:"
-                    ]
-                }, 
-                {
-                    "cell_type": "code", 
-                    "collapsed": true, 
-                    "input": [
-                        "poly2latex(p)"
-                    ], 
-                    "language": "python", 
-                    "outputs": [], 
-                    "prompt_number": 10
-                }, 
-                {
-                    "cell_type": "markdown", 
-                    "source": [
-                        "Note that this did *not* produce a formated LaTeX object, because it is simply a string ", 
-                        "with LaTeX code.  In order for this to be interpreted as a mathematical expression, it", 
-                        "must be properly wrapped into a Math object:"
-                    ]
-                }, 
-                {
-                    "cell_type": "code", 
-                    "collapsed": true, 
-                    "input": [
-                        "from IPython.core.display import Math", 
-                        "Math(poly2latex(p))"
-                    ], 
-                    "language": "python", 
-                    "outputs": [], 
-                    "prompt_number": 11
-                }, 
-                {
-                    "cell_type": "markdown", 
-                    "source": [
-                        "But we can configure IPython to do this automatically for us as follows.  We hook into the", 
-                        "IPython display system and instruct it to use ``poly2latex`` for the latex mimetype, when", 
-                        "encountering objects of the ``Polynomial`` type defined in the", 
-                        "``numpy.polynomial.polynomial`` module:"
-                    ]
-                }, 
-                {
-                    "cell_type": "code", 
-                    "collapsed": true, 
-                    "input": [
-                        "ip = get_ipython()", 
-                        "latex_formatter = ip.display_formatter.formatters['text/latex']", 
-                        "latex_formatter.for_type_by_name('numpy.polynomial.polynomial',", 
-                        "                                 'Polynomial', poly2latex)"
-                    ], 
-                    "language": "python", 
-                    "outputs": [], 
-                    "prompt_number": 12
-                }, 
-                {
-                    "cell_type": "markdown", 
-                    "source": [
-                        "For more examples on how to use the above system, and how to bundle similar print functions", 
-                        "into a convenient IPython extension, see the ``IPython/extensions/sympyprinting.py`` file.  ", 
-                        "The machinery that defines the display system is in the ``display.py`` and ``displaypub.py`` ", 
-                        "files in ``IPython/core``.", 
-                        "", 
-                        "Once our special printer has been loaded, all polynomials will be represented by their ", 
-                        "mathematical form instead:"
-                    ]
-                }, 
-                {
-                    "cell_type": "code", 
-                    "collapsed": true, 
-                    "input": [
-                        "p"
-                    ], 
-                    "language": "python", 
-                    "outputs": [], 
-                    "prompt_number": 13
-                }, 
-                {
-                    "cell_type": "code", 
-                    "collapsed": true, 
-                    "input": [
-                        "p2 = np.polynomial.Polynomial([-20, 71, -15, 1])", 
-                        "p2"
-                    ], 
-                    "language": "python", 
-                    "outputs": [], 
-                    "prompt_number": 14
-                }, 
-                {
-                    "cell_type": "code", 
-                    "collapsed": true, 
-                    "input": [], 
-                    "language": "python", 
-                    "outputs": [], 
-                    "prompt_number": 14
-                }
-            ]
-        }
-    ]
+    {
+     "cell_type": "code", 
+     "collapsed": true, 
+     "input": [
+      "from IPython.lib.pylabtools import print_figure", 
+      "from IPython.core.display import Image, SVG, Math", 
+      "", 
+      "class Gaussian(object):", 
+      "    \"\"\"A simple object holding data sampled from a Gaussian distribution.", 
+      "    \"\"\"", 
+      "    def __init__(self, mean=0, std=1, size=1000):", 
+      "        self.data = np.random.normal(mean, std, size)", 
+      "        self.mean = mean", 
+      "        self.std = std", 
+      "        self.size = size", 
+      "        # For caching plots that may be expensive to compute", 
+      "        self._png_data = None", 
+      "        self._svg_data = None", 
+      "        ", 
+      "    def _figure_data(self, format):", 
+      "        fig, ax = plt.subplots()", 
+      "        ax.plot(self.data, 'o')", 
+      "        ax.set_title(self._repr_latex_())", 
+      "        data = print_figure(fig, format)", 
+      "        # We MUST close the figure, otherwise IPython's display machinery", 
+      "        # will pick it up and send it as output, resulting in a double display", 
+      "        plt.close(fig)", 
+      "        return data", 
+      "    ", 
+      "    # Here we define the special repr methods that provide the IPython display protocol", 
+      "    # Note that for the two figures, we cache the figure data once computed.", 
+      "    ", 
+      "    def _repr_png_(self):", 
+      "        if self._png_data is None:", 
+      "            self._png_data = self._figure_data('png')", 
+      "        return self._png_data", 
+      "", 
+      "", 
+      "    def _repr_svg_(self):", 
+      "        if self._svg_data is None:", 
+      "            self._svg_data = self._figure_data('svg')", 
+      "        return self._svg_data", 
+      "    ", 
+      "    def _repr_latex_(self):", 
+      "        return r'$\\mathcal{N}(\\mu=%.2g, \\sigma=%.2g),\\ N=%d$' % (self.mean,", 
+      "                                                                 self.std, self.size)", 
+      "    ", 
+      "    # We expose as properties some of the above reprs, so that the user can see them", 
+      "    # directly (since otherwise the client dictates which one it shows by default)", 
+      "    @property", 
+      "    def png(self):", 
+      "        return Image(self._repr_png_(), embed=True)", 
+      "    ", 
+      "    @property", 
+      "    def svg(self):", 
+      "        return SVG(self._repr_svg_())", 
+      "        ", 
+      "    @property", 
+      "    def latex(self):", 
+      "        return Math(self._repr_svg_())", 
+      "    ", 
+      "    # An example of using a property to display rich information, in this case", 
+      "    # the histogram of the distribution.  We've hardcoded the format to be png", 
+      "    # in this case, but in production code it would be trivial to make it an option", 
+      "    @property", 
+      "    def hist(self):", 
+      "        fig, ax = plt.subplots()", 
+      "        ax.hist(self.data, bins=100)", 
+      "        ax.set_title(self._repr_latex_())", 
+      "        data = print_figure(fig, 'png')", 
+      "        plt.close(fig)", 
+      "        return Image(data, embed=True)"
+     ], 
+     "language": "python", 
+     "outputs": [], 
+     "prompt_number": 1
+    }, 
+    {
+     "cell_type": "markdown", 
+     "source": [
+      "Now, we create an instance of the Gaussian distribution, whose default representation will be its LaTeX form:"
+     ]
+    }, 
+    {
+     "cell_type": "code", 
+     "collapsed": false, 
+     "input": [
+      "x = Gaussian()", 
+      "x"
+     ], 
+     "language": "python", 
+     "outputs": [], 
+     "prompt_number": 2
+    }, 
+    {
+     "cell_type": "markdown", 
+     "source": [
+      "We can view the data in png or svg formats:"
+     ]
+    }, 
+    {
+     "cell_type": "code", 
+     "collapsed": false, 
+     "input": [
+      "x.png"
+     ], 
+     "language": "python", 
+     "outputs": [], 
+     "prompt_number": 3
+    }, 
+    {
+     "cell_type": "code", 
+     "collapsed": false, 
+     "input": [
+      "x.svg"
+     ], 
+     "language": "python", 
+     "outputs": [], 
+     "prompt_number": 4
+    }, 
+    {
+     "cell_type": "markdown", 
+     "source": [
+      "Since IPython only displays by default as an ``Out[]`` cell the result of the last computation, we can use the", 
+      "``display()`` function to show  more than one representation in a single cell:"
+     ]
+    }, 
+    {
+     "cell_type": "code", 
+     "collapsed": false, 
+     "input": [
+      "display(x.png)", 
+      "display(x.svg)"
+     ], 
+     "language": "python", 
+     "outputs": [], 
+     "prompt_number": 5
+    }, 
+    {
+     "cell_type": "markdown", 
+     "source": [
+      "Now let's create a new Gaussian with different parameters"
+     ]
+    }, 
+    {
+     "cell_type": "code", 
+     "collapsed": false, 
+     "input": [
+      "x2 = Gaussian(0.5, 0.2, 2000)", 
+      "x2"
+     ], 
+     "language": "python", 
+     "outputs": [], 
+     "prompt_number": 6
+    }, 
+    {
+     "cell_type": "markdown", 
+     "source": [
+      "We can easily compare them by displaying their histograms"
+     ]
+    }, 
+    {
+     "cell_type": "code", 
+     "collapsed": false, 
+     "input": [
+      "display(x.hist)", 
+      "display(x2.hist)"
+     ], 
+     "language": "python", 
+     "outputs": [], 
+     "prompt_number": 7
+    }, 
+    {
+     "cell_type": "markdown", 
+     "source": [
+      "## Adding IPython display support to existing objects", 
+      "", 
+      "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.", 
+      "We will use the numpy polynomials and change their default representation to be a formatted", 
+      "LaTeX expression.", 
+      "", 
+      "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])", 
+      "p"
+     ], 
+     "language": "python", 
+     "outputs": [], 
+     "prompt_number": 8
+    }, 
+    {
+     "cell_type": "markdown", 
+     "source": [
+      "Next, we define a function that pretty-prints a polynomial as a LaTeX string:"
+     ]
+    }, 
+    {
+     "cell_type": "code", 
+     "collapsed": true, 
+     "input": [
+      "def poly2latex(p):", 
+      "    terms = ['%.2g' % p.coef[0]]", 
+      "    if len(p) > 1:", 
+      "        term = 'x'", 
+      "        c = p.coef[1]", 
+      "        if c!=1:", 
+      "            term = ('%.2g ' % c) + term", 
+      "        terms.append(term)", 
+      "    if len(p) > 2:", 
+      "        for i in range(2, len(p)):", 
+      "            term = 'x^%d' % i", 
+      "            c = p.coef[i]", 
+      "            if c!=1:", 
+      "                term = ('%.2g ' % c) + term", 
+      "            terms.append(term)", 
+      "    px = '$P(x)=%s$' % '+'.join(terms)", 
+      "    dom = r', domain: $[%.2g,\\ %.2g]$' % tuple(p.domain)", 
+      "    return px+dom"
+     ], 
+     "language": "python", 
+     "outputs": [], 
+     "prompt_number": 11
+    }, 
+    {
+     "cell_type": "markdown", 
+     "source": [
+      "This produces, on our polynomial ``p``, the following:"
+     ]
+    }, 
+    {
+     "cell_type": "code", 
+     "collapsed": false, 
+     "input": [
+      "poly2latex(p)"
+     ], 
+     "language": "python", 
+     "outputs": [], 
+     "prompt_number": 12
+    }, 
+    {
+     "cell_type": "markdown", 
+     "source": [
+      "Note that this did *not* produce a formated LaTeX object, because it is simply a string ", 
+      "with LaTeX code.  In order for this to be interpreted as a mathematical expression, it", 
+      "must be properly wrapped into a Math object:"
+     ]
+    }, 
+    {
+     "cell_type": "code", 
+     "collapsed": false, 
+     "input": [
+      "from IPython.core.display import Math", 
+      "Math(poly2latex(p))"
+     ], 
+     "language": "python", 
+     "outputs": [], 
+     "prompt_number": 13
+    }, 
+    {
+     "cell_type": "markdown", 
+     "source": [
+      "But we can configure IPython to do this automatically for us as follows.  We hook into the", 
+      "IPython display system and instruct it to use ``poly2latex`` for the latex mimetype, when", 
+      "encountering objects of the ``Polynomial`` type defined in the", 
+      "``numpy.polynomial.polynomial`` module:"
+     ]
+    }, 
+    {
+     "cell_type": "code", 
+     "collapsed": true, 
+     "input": [
+      "ip = get_ipython()", 
+      "latex_formatter = ip.display_formatter.formatters['text/latex']", 
+      "latex_formatter.for_type_by_name('numpy.polynomial.polynomial',", 
+      "                                 'Polynomial', poly2latex)"
+     ], 
+     "language": "python", 
+     "outputs": [], 
+     "prompt_number": 14
+    }, 
+    {
+     "cell_type": "markdown", 
+     "source": [
+      "For more examples on how to use the above system, and how to bundle similar print functions", 
+      "into a convenient IPython extension, see the ``IPython/extensions/sympyprinting.py`` file.  ", 
+      "The machinery that defines the display system is in the ``display.py`` and ``displaypub.py`` ", 
+      "files in ``IPython/core``.", 
+      "", 
+      "Once our special printer has been loaded, all polynomials will be represented by their ", 
+      "mathematical form instead:"
+     ]
+    }, 
+    {
+     "cell_type": "code", 
+     "collapsed": false, 
+     "input": [
+      "p"
+     ], 
+     "language": "python", 
+     "outputs": [], 
+     "prompt_number": 15
+    }, 
+    {
+     "cell_type": "code", 
+     "collapsed": false, 
+     "input": [
+      "p2 = np.polynomial.Polynomial([-20, 71, -15, 1])", 
+      "p2"
+     ], 
+     "language": "python", 
+     "outputs": [], 
+     "prompt_number": 16
+    }, 
+    {
+     "cell_type": "code", 
+     "collapsed": true, 
+     "input": [], 
+     "language": "python", 
+     "outputs": [], 
+     "prompt_number": 14
+    }
+   ]
+  }
+ ]
 }
  No newline at end of file

docs/examples/notebooks/formatting.ipynb

@@ -1,120 +1,126 b''
 {
-    "metadata": {
-        "name": "formatting"
+ "metadata": {
+  "name": "formatting"
+ }, 
+ "nbformat": 2, 
+ "worksheets": [
+  {
+   "cells": [
+    {
+     "cell_type": "markdown", 
+     "source": [
+      "# Examples of basic formatting in the notebook", 
+      "", 
+      "Normal and formatted text cells such as this one use the ", 
+      "[Markdown](http://daringfireball.net/projects/markdown/basics) syntax.", 
+      "", 
+      "", 
+      "# Title (h1)", 
+      "", 
+      "## Heading (h2)", 
+      "", 
+      "### Heading (h3)", 
+      "", 
+      "Here is a paragraph of text.", 
+      "", 
+      "* One.", 
+      "    - Sublist", 
+      "        - Here we go", 
+      "  - Sublist", 
+      "        - Here we go", 
+      "        - Here we go", 
+      "* Two.", 
+      "  - Sublist", 
+      "* Three.", 
+      "  - Sublist", 
+      "", 
+      "Now another list:", 
+      "", 
+      "---", 
+      "", 
+      "1. Here we go", 
+      "    1. Sublist", 
+      "    2. Sublist", 
+      "2. There we go", 
+      "3. Now this", 
+      "", 
+      "And another paragraph.", 
+      "", 
+      "### Heading (h3)", 
+      "", 
+      "#### Heading (h4)", 
+      "", 
+      "##### Heading (h5)", 
+      "", 
+      "###### Heading (h6)", 
+      "", 
+      "## Heading (h2)"
+     ]
     }, 
-    "nbformat": 2, 
-    "worksheets": [
-        {
-            "cells": [
-                {
-                    "cell_type": "markdown", 
-                    "source": [
-                        "# Title (h1)", 
-                        "", 
-                        "## Heading (h2)", 
-                        "", 
-                        "### Heading (h3)", 
-                        "", 
-                        "Here is a paragraph of text.", 
-                        "", 
-                        "* One.", 
-                        "    - Sublist", 
-                        "        - Here we go", 
-                        "  - Sublist", 
-                        "        - Here we go", 
-                        "        - Here we go", 
-                        "* Two.", 
-                        "  - Sublist", 
-                        "* Three.", 
-                        "  - Sublist", 
-                        "", 
-                        "Now another list:", 
-                        "", 
-                        "---", 
-                        "", 
-                        "1. Here we go", 
-                        "    1. Sublist", 
-                        "    2. Sublist", 
-                        "2. There we go", 
-                        "3. Now this", 
-                        "", 
-                        "And another paragraph.", 
-                        "", 
-                        "### Heading (h3)", 
-                        "", 
-                        "#### Heading (h4)", 
-                        "", 
-                        "##### Heading (h5)", 
-                        "", 
-                        "###### Heading (h6)", 
-                        "", 
-                        "## Heading (h2)", 
-                        ""
-                    ]
-                }, 
-                {
-                    "cell_type": "markdown", 
-                    "source": [
-                        "# Heading (h1)", 
-                        "", 
-                        "## Heading (h2)", 
-                        "", 
-                        "### Heading (h3)", 
-                        "", 
-                        "#### Heading (h4)", 
-                        "", 
-                        "##### Heading (h5)", 
-                        "", 
-                        "###### Heading (h6)", 
-                        "", 
-                        "Now for a simpel code example:", 
-                        "", 
-                        "    for i in range(10):", 
-                        "        print i", 
-                        "", 
-                        "Now more text"
-                    ]
-                }, 
-                {
-                    "cell_type": "markdown", 
-                    "source": [
-                        "## Heading (h2)", 
-                        "", 
-                        "Here is text.", 
-                        "", 
-                        "> This is a *block* quote. This is a block quote. This is a block quote.  ", 
-                        "> This is a **block** quote. This is a block quote. This is a block quote.  ", 
-                        "> This is a `block` quote. This is a block quote. This is a block quote.  ", 
-                        "> This is a block quote. This is a block quote. This is a block quote.  ", 
-                        "> This is a block quote. This is a block quote. This is a block quote.  ", 
-                        "> This is a block quote. This is a block quote. This is a block quote.  ", 
-                        "", 
-                        "Here is text", 
-                        "", 
-                        "<table>", 
-                        "<tr>", 
-                        "<th>Header 1</th>", 
-                        "<th>Header 2</th>", 
-                        "</tr>", 
-                        "<tr>", 
-                        "<td>row 1, cell 1</td>", 
-                        "<td>row 1, cell 2</td>", 
-                        "</tr>", 
-                        "<tr>", 
-                        "<td>row 2, cell 1</td>", 
-                        "<td>row 2, cell 2</td>", 
-                        "</tr>", 
-                        "</table>"
-                    ]
-                }, 
-                {
-                    "cell_type": "code", 
-                    "collapsed": true, 
-                    "input": [], 
-                    "language": "python", 
-                    "outputs": []
-                }
-            ]
-        }
-    ]
+    {
+     "cell_type": "markdown", 
+     "source": [
+      "# Heading (h1)", 
+      "", 
+      "## Heading (h2)", 
+      "", 
+      "### Heading (h3)", 
+      "", 
+      "#### Heading (h4)", 
+      "", 
+      "##### Heading (h5)", 
+      "", 
+      "###### Heading (h6)", 
+      "", 
+      "Now for a simple code example:", 
+      "", 
+      "    for i in range(10):", 
+      "        print i", 
+      "", 
+      "Now more text"
+     ]
+    }, 
+    {
+     "cell_type": "markdown", 
+     "source": [
+      "## Heading (h2)", 
+      "", 
+      "Here is text.", 
+      "", 
+      "> This is a *block* quote. This is a block quote. This is a block quote.  ", 
+      "> This is a **block** quote. This is a block quote. This is a block quote.  ", 
+      "> This is a `block` quote. This is a block quote. This is a block quote.  ", 
+      "> This is a block quote. This is a block quote. This is a block quote.  ", 
+      "> This is a block quote. This is a block quote. This is a block quote.  ", 
+      "> This is a block quote. This is a block quote. This is a block quote.  ", 
+      "", 
+      "Here is text", 
+      "", 
+      "<table>", 
+      "<tr>", 
+      "<th>Header 1</th>", 
+      "<th>Header 2</th>", 
+      "</tr>", 
+      "<tr>", 
+      "<td>row 1, cell 1</td>", 
+      "<td>row 1, cell 2</td>", 
+      "</tr>", 
+      "<tr>", 
+      "<td>row 2, cell 1</td>", 
+      "<td>row 2, cell 2</td>", 
+      "</tr>", 
+      "</table>"
+     ]
+    }, 
+    {
+     "cell_type": "code", 
+     "collapsed": true, 
+     "input": [], 
+     "language": "python", 
+     "outputs": [], 
+     "prompt_number": "&nbsp;"
+    }
+   ]
+  }
+ ]
 }
  No newline at end of file