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  {
   "cells": [
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "# IPython notebook: visualization in context\n",
      "\n",
      "<p class=\"gap2\"></p>"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%run talktools\n",
      "%matplotlib inline"
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "skip"
      }
     },
     "outputs": [
      {
       "html": [
        "<style>\n",
        "/*\n",
        "   Simple CSS styling for using IPython Notebooks for talks.\n",
        "\n",
        "   Author: Fernando Perez <fernando.perez@berkeley.edu>\n",
        "*/\n",
        "\n",
        "talk-title\n",
        "{\n",
        "  color: #111133;\n",
        "  font-size: 220%;\n",
        "  font-weight:bold;\n",
        "  line-height: 1.2;\n",
        "  margin: 10px 50px 10px;\n",
        "  }\n",
        "\n",
        "talk-subtitle\n",
        "{\n",
        "  color: #111155;\n",
        "  font-size: 150%;\n",
        "  font-weight:bold;\n",
        "  line-height: 1.2;\n",
        "  margin: 20px 50px 20px;\n",
        "  text-align: center;\n",
        "  }\n",
        "\n",
        ".slide-header, p.slide-header\n",
        "{\n",
        "  color: #498AF3;\n",
        "  font-size: 180%;\n",
        "  font-weight:bold;\n",
        "  margin: 0px 20px 10px;\n",
        "  page-break-before: always;\n",
        "  text-align: center;\n",
        "  }\n",
        "\n",
        ".rendered_html\n",
        "{\n",
        "  color: #2C5494;\n",
        "  font-family: Ubuntu;\n",
        "  font-size: 170%;\n",
        "  line-height: 1.1;\n",
        "  margin: 0.5em 0;\n",
        "  }\n",
        "\n",
        ".rendered_html h1\n",
        "{\n",
        "  color: #1111AA;\n",
        "  line-height: 1.2;\n",
        "  margin: 0.15em 0em 0.5em;\n",
        "  page-break-before: always;\n",
        "  text-align: center;\n",
        "  }\n",
        "\n",
        "\n",
        ".rendered_html h2\n",
        "{\n",
        "  color: #111133;\n",
        "  line-height: 1.2;\n",
        "  margin: 1.1em 0em 0.5em;\n",
        "  text-align: center;\n",
        "  }\n",
        "\n",
        ".rendered_html h3\n",
        "{\n",
        "  font-size: 100%;\n",
        "  line-height: 1.2;\n",
        "  margin: 1.1em 0em 0.5em;\n",
        "  }\n",
        "\n",
        ".rendered_html h5\n",
        "{\n",
        "  font-size: 50%;\n",
        "  line-height: 1;\n",
        "  margin: 0.3em 0em 0.3em;\n",
        "  font-weight: bold;\n",
        "  text-align: center;\n",
        "  }\n",
        "\n",
        ".rendered_html h6\n",
        "{\n",
        "  font-size: 50%;\n",
        "  line-height: 1;\n",
        "  margin: 0.3em 0em 0.3em;\n",
        "  font-weight: normal;\n",
        "  text-align: center;\n",
        "  }\n",
        "\n",
        ".rendered_html li\n",
        "{\n",
        "  line-height: 1.8;\n",
        "  }\n",
        "\n",
        ".input_prompt, .CodeMirror-lines, .output_area\n",
        "{\n",
        "  font-family: Consolas;\n",
        "  font-size: 120%;\n",
        "  }\n",
        "\n",
        ".gap-above\n",
        "{\n",
        "  padding-top: 200px;\n",
        "  }\n",
        "\n",
        ".gap01\n",
        "{\n",
        "  padding-top: 10px;\n",
        "  }\n",
        "\n",
        ".gap05\n",
        "{\n",
        "  padding-top: 50px;\n",
        "  }\n",
        "\n",
        ".gap1\n",
        "{\n",
        "  padding-top: 100px;\n",
        "  }\n",
        "\n",
        ".gap2\n",
        "{\n",
        "  padding-top: 200px;\n",
        "  }\n",
        "\n",
        ".gap3\n",
        "{\n",
        "  padding-top: 300px;\n",
        "  }\n",
        "\n",
        ".emph\n",
        "{\n",
        "  color: #386BBC;\n",
        "  }\n",
        "\n",
        ".strike\n",
        "{\n",
        "  text-decoration:line-through;\n",
        "  color: #94B8F3;\n",
        "  }\n",
        "\n",
        ".warn\n",
        "{\n",
        "  color: red;\n",
        "  }\n",
        "\n",
        ".center\n",
        "{\n",
        "  text-align: center;\n",
        "  }\n",
        "\n",
        ".nb_link\n",
        "{\n",
        "    padding-bottom: 0.5em;\n",
        "}\n",
        "\n",
        "table.mytable\n",
        "{\n",
        "    border: 0px;\n",
        "}\n",
        "\n",
        ".mytable tbody\n",
        "{\n",
        "    border: 0px;\n",
        "}\n",
        "\n",
        ".mytable td\n",
        "{\n",
        "    border: 0px;\n",
        "}\n",
        "\n",
        ".mytable tr\n",
        "{\n",
        "    border: 0px;\n",
        "}\n",
        "\n",
        "</style>\n"
       ],
       "metadata": {},
       "output_type": "display_data",
       "text": [
        "<IPython.core.display.HTML object>"
       ]
      }
     ],
     "prompt_number": 1
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "## Data Visualization: just graphics are not enough\n",
      "\n",
      "What is the problem here?\n",
      "\n",
      "<img src=\"images/obamacare-fox.jpg\">\n",
      "\n",
      "(source: [media matters](http://mediamatters.org/blog/2014/03/31/dishonest-fox-charts-obamacare-enrollment-editi/198679))"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "How about here?\n",
      "\n",
      "<img src=\"images/revenue.png\" width=\"70%\">\n",
      "\n",
      "(source: [wtf vz](http://wtfviz.net/))"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "How about this?\n",
      "\n",
      "<img src=\"images/bechdel.png\">\n",
      "\n",
      "(source: [fivethirtyeight](http://fivethirtyeight.com/features/the-dollar-and-cents-case-against-hollywoods-exclusion-of-women/))"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "## The Bechdel Test\n",
      "\n",
      "\"The Rule\": female film characters have depth if...\n",
      "\n",
      "<table class=\"mytable\">\n",
      "<tr>\n",
      "<td>\n",
      "<a href=\"http://www.npr.org/templates/story/story.php?storyId=94202522\"><img src=\"images/bechdel-strip.jpg\" width=200></a>\n",
      "</td>\n",
      "<td>\n",
      "<ol>\n",
      "<li> Film must have at least two women\n",
      "<li> The women must have names\n",
      "<li> The women must have a conversation at some point\n",
      "<li> That conversation is with each other\n",
      "<li> That conversation is not about the men\n",
      "</ol>\n",
      "</td>\n",
      "</tr>\n",
      "</table>"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "## The results: gender bias is not profitable!\n",
      "\n",
      "<img src=\"images/bechdel-results.png\">"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "## What's wrong with the FiveThirtyEight results?\n",
      "\n",
      "<p class=\"gap1\"></p>\n",
      "<center>\n",
      "Probably nothing, but *how can we know that?*\n",
      "</center>\n",
      "<p class=\"gap05\"></p>\n",
      "<center>\n",
      "The data & analysis are hidden from us.\n",
      "</center>\n",
      "<p class=\"gap05\"></p>\n",
      "<center>\n",
      "Given the importance and influence of data-heavy media sources like FiveThirtyEight (especially when they address important topics like elections, climate change, gender issues, etc.) shouldn't we expect a higher bar?\n",
      "</center>\n",
      "<p class=\"gap1\"></p>"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "## Blog Post by Brian Keegan\n",
      "\n",
      "[The Need for Openness in Data Journalism](http://www.brianckeegan.com/2014/04/the-need-for-openness-in-data-journalism/)\n",
      "\n",
      "Thesis: journalists should subject themselves to the same **reproducibility and openness** standards as scientist.\n",
      "\n",
      "Keegan: *\"I have found this \u201cnew\u201d brand of data journalism disappointing foremost because it wants to perform science without abiding by scientific norms.\"*\n",
      "\n",
      "<p class=\"gap1\"></p>"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "## The takeaway\n",
      "\n",
      "As data scientists, we should be as offended by **obfuscated data** as designers are by **obfuscating design**.\n",
      "\n",
      "<table class=\"mytable\">\n",
      "<tr><td><img src=\"images/bechdel.png\" width=400></td><td><img src=\"images/obamacare-fox.jpg\" width=400></td></tr>\n",
      "</table>"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "## Brian's Response to FiveThirtyEight\n",
      "\n",
      "Walking the walk..."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from IPython.display import IFrame\n",
      "IFrame(\"http://nbviewer.ipython.org/github/brianckeegan/Bechdel/blob/master/Bechdel_test.ipynb\", 800, 600)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "\n",
        "        <iframe\n",
        "            width=\"800\"\n",
        "            height=600\"\n",
        "            src=\"http://nbviewer.ipython.org/github/brianckeegan/Bechdel/blob/master/Bechdel_test.ipynb\"\n",
        "            frameborder=\"0\"\n",
        "            allowfullscreen\n",
        "        ></iframe>\n",
        "        "
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 10,
       "text": [
        "<IPython.lib.display.IFrame at 0x1073913d0>"
       ]
      }
     ],
     "prompt_number": 10
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "To their credit, FiveThirtyEight [responded](http://fivethirtyeight.com/datalab/the-bechdel-test-checking-our-work/) and [put their data on GitHub](https://github.com/fivethirtyeight)."
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "## This is the IPython notebook\n",
      "\n",
      "Combination of Markdown, Math, Code, Visualizations, and more into a single *executable* document.\n",
      "\n",
      "### We can embed, and execute, blocks of code:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def fibonacci():\n",
      "    a, b = 0, 1\n",
      "    while True:\n",
      "        yield a\n",
      "        a, b = b, a + b\n",
      "\n",
      "for i, f in enumerate(fibonacci()):\n",
      "    print f,\n",
      "    if i > 35:\n",
      "        break"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "0 1 1 2 3 5 8 13 21 34 55 89 144 233 377 610 987 1597 2584 4181 6765 10946 17711 28657 46368 75025 121393 196418 317811 514229 832040 1346269 2178309 3524578 5702887 9227465 14930352\n"
       ]
      }
     ],
     "prompt_number": 3
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "### We can write paragraphs of text\n",
      "\n",
      "Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.\n",
      "\n",
      "### We can write math using TeX\n",
      "\n",
      "$$ \\int x^n \\exp[-x]dx =  \\Gamma(n + 1, x)$$\n",
      "\n",
      "### We can write lists\n",
      "\n",
      "- Lorem ipsum dolor sit amet\n",
      "- consectetur adipisicing elit\n",
      "- sed do eiusmod tempor incididunt\n",
      "- ut labore et dolore magna aliqua\n",
      "\n",
      "### We can embed static figures\n",
      "\n",
      "<img src=\"images/bechdel.png\" width=\"30%\">"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "## More importantly\n",
      "\n",
      "### we can embed dynamically figures *with* the generating code"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import matplotlib.pyplot as plt\n",
      "import numpy as np\n",
      "\n",
      "x, y = np.random.normal(size=(2, 100))\n",
      "s, c = np.random.random(size=(2, 100))\n",
      "\n",
      "plt.scatter(x, y, c=c, s=1000 * s, alpha=0.3);"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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jSSAfr6Axu3F4nYRGZ0h2NFFn0qI3PLrOzTYLtRot3nojofA8ba09NGryjMxP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\n62I0d3of/pi3wmu3IruMRGKTxFIZ2v7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1qccv2siyimU5aNpujt/zPM6dn8MsLfDGkTiK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\nuCAIQpYSCVwQBCFLiQQuCIKQpf4/gg7zqi1F38UAAAAASUVORK5CYII=\n",
       "text": [
        "<matplotlib.figure.Figure at 0x10629df90>"
       ]
      }
     ],
     "prompt_number": 4
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "## The core viz tool: matplotlib\n",
      "\n",
      "Lots of visualization types are available: e.g. [matplotlib gallery](http://matplotlib.org/gallery)"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# %load http://matplotlib.org/mpl_examples/mplot3d/bars3d_demo.py"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 5
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from mpl_toolkits.mplot3d import Axes3D\n",
      "import matplotlib.pyplot as plt\n",
      "import numpy as np\n",
      "\n",
      "fig = plt.figure()\n",
      "ax = fig.add_subplot(111, projection='3d')\n",
      "for c, z in zip(['r', 'g', 'b', 'y'], [30, 20, 10, 0]):\n",
      "    xs = np.arange(20)\n",
      "    ys = np.random.rand(20)\n",
      "\n",
      "    # You can provide either a single color or an array. To demonstrate this,\n",
      "    # the first bar of each set will be colored cyan.\n",
      "    cs = [c] * len(xs)\n",
      "    cs[0] = 'c'\n",
      "    ax.bar(xs, ys, zs=z, zdir='y', color=cs, alpha=0.8)\n",
      "\n",
      "ax.set_xlabel('X')\n",
      "ax.set_ylabel('Y')\n",
      "ax.set_zlabel('Z')\n",
      "\n",
      "plt.show()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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hAAgaDQXt9uxIeugg4xDOrm4ZgVIDruuV1kdYCOh6sbwgNV1KKVgolqaEksSy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peMvVxhqDYzPqdSqeC6Lrfffju/8zu/w5VXXsnll1+OEIKLL76Y973vfc/7OIsXL2bx4sWAoQbX\nrVuXTfod5zz3SoxjDnTDMKTVamWc07e/+lW+ff313Pmd77Dt6afxjzuO6IQT0MLKwsqMzGU6PSKk\n01HU64MGJmFoTHEOx1sZ0B31fQgCOx1i9D2+L+n1ulQqdfp9RoDJ8wTN5jSe59LpRPi+S9GIxaqK\nyvZttltQHgUMA6oxvh8eNtOtVmtjM904jtMCy+ixrYm5keeVc6pmhRBAOoW36C8BEq0F55yzgaVL\nZzj55Drdbpdut0Oz2QcCXFfRbH6STucN+P56wnA9rjuPYiFtHNVg6YUkOUCzeQXVqqDbreJ5p9Pt\nPsHjjz9OklgaQJW2ASeJKYblkjaZZtBJ+mCw3xcMZtRx+h634LuQrxS0NmPkn7+15fOP4fE53W6X\nq666iu3bt/O9732PJUuWvCTH3bZtG/feey/nn38+t99+O3/6p3/KX//1X3P22Wfzuc997mfGR+H5\nxDEFunZOmuu6zM7OIqVk2bJl/PYVV/D/eB5KKTZv3swjjzzCo2HI6aefzp//eY/p6SbHHx+xapXP\nCSeEVCoO+/Ydolqt0utFA6ALhiJ44oknuOuuOzj55PWccsopLFy4cOCGMFrdURrCdpmVdaz5vqDX\n6xOGtRGFglE/SPr93DQkz5qS9CY38p8oGufdYDLMw3G6nheUctkGdGNc1xsLykrFqZRuPP1g+MD8\n73knoGlOMeqTopbWvt80fxhwMoVPO9Zl7lzYsaPP6tUNPvzhD/LQQ49x553f4qGHHqPTqdPrgRBv\nT7PLfmmmK0Q+mr7RcPnEJ+rMzMTs2HE327c/w113/SXt9ixKvQWthw1vDJjnma4YWB1pHWf0Qllo\nbbwXpAyG3OXASO16bNq0ibe//f2sWLGKc85Zy4YN61m3bh0rV658SawQh7Nbz/PYuHEjH/3oR/nA\nBz7A5z//+ZfMgrHZbPL2t7+dL37xi9Trda644gquuuoqAD7xiU/wkY98hGuuueYlOfbLEccU6H7w\ngx9k586dnHnmmdTrdR588EH+4A/+IDPD0Fpz0kknsW7duqyp4YYbfsSjjz7KQw/dx6233sGmTY/h\nuhHnnNNFKcHmzR2mptyBm6hSkTz++OPceOMXuf/+Glu2JHheg1NP3cCpp57Pq1/9c1Qq1VL1g5dO\nACjLRm3zRKVSo9UafK/JdKHZbKcG0k1G/XhFql5QKGWRTWTZlZcamByO83Xdck7XFNJiXNcfo34Q\nmY52fEeabRO2GWwuacunAZe3EdvKuhm6aAqTNnM1HLf5vGeddRbnnnsu73+/KeTt2LGDxx57jNNO\nO42LLvopN9/8CeBZkqQBVFKKYrC9WEqTUU5OekxOeqxd67FsWcDXvjbL7bdPM5rpkhbMALwR6kGp\nI4Gu5XwLA1QLGbEQJlOO45PZtu0KHn/8Ea677m7gWhznIKeeehKf+9xVLFiw4EXJhIfH58RxzO//\n/u/z05/+lOuuu47jjz/+BR9jXERRxC//8i/z7ne/O9PWFhsb3ve+9/GWt7zlJTv+yxHHFOhec801\n/OQnP+G3fuu3eOaZZ/j5n/953vWud7FmzRrOOecczj//fFavXg2Q6RCr1SrnnnsuF1xwAa77Wyil\n2LJlC2EY8tBD9/JXf/UFvvnNfaxc6XH88X1Wrcp9XRcurPNbv2VmS+3dG7Fly79x99238uMfn0Wl\nUi1VIATBeNmXyXR7hGGdg9mkoFykbxocIoIgIIpGW5FdlzTTzOViRWASwoxHsXxx8QY1hbQkLaSV\n0Q+CJLHqhdFrbzNZe/zy7Uma6Y52lOU63fJpv/ZU8yaH4UKdeYgadUZMv99HKcXcuXO58MILcRyH\nL33p0/zTP/0c3//+/8vSpcbCs9U6QBT1EWKSOI5otf6diYkYWxyz34HR15pM1jqZ5duKOt3RW8qs\nRMaDbg7K49ULAI7ToFY7i3r9rPTvkCSHuPfe97Jjxw6CIBjoknRdd2TFcLjQenB8jud5PPLII/zX\n//pfufzyy/nUpz71kmW39vjvfe97Wb9+PR/+8Iezv+/cuTOjMa6//npOPfXUl+wcXo44pkBXCDO/\n7Nd//de54oorsmX4448/zh133MFf/dVf8cgjjxAEAWeeeSbnnHMO5557LlNTU1lnjlKKZcuW4TgO\nb3zjm/nFX7yU2dlZHn30UR5++EF++tM76HSeYO7cuTz00DTf/36PVasqrFwZcP75Eyxe3OXb355h\n8eLjxoz7MTdouQ7XZJsGVK1bV54NGs63QxCMl5QBAx1rRWAKAiP/SZJitmmlQZp+P0o52XLO19IL\n5fSB4XzDsDo20zXFIgNmZTevHfdTnumOM8IZfI3v+1nRqcwQptfr4Xkuk5N1JicnM5AXQrBo0XxW\nrryPbdv2kCR7MfphY/YD1hBHYtuAi/68plA42gZsfBqsVWMZIBvPYLN9HOjapclgMU0IcN0pXFcy\nZ84cGo1Gqe/CuAkOxRgen6OU4gtf+AK33HIL11xzDWvXrj3stX8x4vbbb+cb3/gGp512WmaK8+lP\nf5pvfetb3HfffQghOOGEE7IBk6/UOKZAF+CSSy7hkksuyf7bcRzWr1/P+vXree9734vWmmazyT33\n3MMdd9zB3/zN37B7925WrFjB2WefzXnnnccpp5ySFrv6GXd66qmnsmHDBhznNzINaq12LXfc8UOu\nv/5utm/fytKlLvPmdeh0WlSr5U5iQaDSFuMyT1rjgWBMZmwxJb+JPU/Q7XZSUC4DXZ3qeMd1rFlO\nd7RIZ5onovSGLU6ABdIZbMM63WI4Dql20xsppBlwMlxsEJSrH6wS48iDKcsz4bIoM4QJwzCjBorq\nEK0FlUqV//Sffo2/+IsHWLs2pNPppsW6GmEYEscdut3r0HofWleA2sD3Y8578JbSOsZx3JTeKm+c\nyLeXg65S/bQTbnwmbJo3jt53oQjCcWzanG12+8QTT/DhD3+YSy65hB/84AdH7fvwQuM1r3lNqRLl\nhVo//qzFMQe6RwohzJTgiy66iIsuuggwP8zt27dzxx138Hd/93dcddVVaK057bTTOPvsszn//PNZ\ntGhRCmh5V44Facdx6Pf7bNq0iYcffpgk6TM1NcH/+B/Xs3Gjk9ISAatWhfi+StssFcNLfNCZqU0c\njzY4GPqhg++HpcDqOEfy4yVVdQz+3YCTfZDUUMo2NuR+vEKo1IRHjs10rWA+355TI9ZwxnC+5d+L\nAfrxy9dh7rUs9u/fz+7duznxxBPHOnNZxUfx0tvCVb/fz8DdzjKzD54lSxbzK7+ylhtv3Eil0kKp\nZwEv3a6J44jhfiOtY1zXGQu6WkcZJfL/t3fmUU3d6Rt/bu5NCKsii6yShH0RnMpSGcVR69JT7dSl\nc1yqaLW24+motTMu7XjQOW3da1Hr2Lp0s7XO9Njadiq21MHq/AgUyiaLKAJSKtiKO0rW3x8335vt\nJqACCXg/53g8kOTyDZo3b97lefiCqvmcL//YmL3lCT7dBRKIybovAJw+fRqffvop3NzcUFZWhr17\n9yItLY33ml2hqakJ8+bNw+XLl0FRFBYvXoylS5c6taNDb/HQBV0+RCIR5HI55HI5Zs+ezdW2SkpK\noFQqkZWVhcbGRvj6+iIlJQVpaWkYNmyYYfxKw32Mi4iIQHR0NFdPS0sbiaqqKlRWliEvLx979lRD\nr1djyBDWlffChbuQyaSGzj9bSnBxIcsT/PKMHR0d8PIaaLO8oNFoDD5rem4m2Hg70ePlj1qsvoII\nWi2pA5rr8bJvNjTUaqN4DQlIxukENuhaNspIJszO+fLXbHU6kinbq+narykePnwIn322A1qtFOHh\nEUhISEVc3DDExcUhJCQEZKXY+vpkG1EKhqG5Rp3xD6DX00hISEB+/kDI5VK4u4ugUnVAo9FCKnWB\nSNQKtfq/uH17PtTqeFBUHCSSULuZLgm6rKAOX9BVc4/X6WwF3a6vCZOGJPvmbLSaCgwMhE6nQ0ND\nAyQSCcaMGYM///nP2LZtW5eua4mtRYf33nvPaR0degsh6PLAzuJKMWLECIwYMQKAUXBFqVQiLy8P\nW7duxZ07dxATE8NlvHK5nAvY7Mabq0mT7kXo9XpcuHABfn5+kEopHDz4CS5fvoQhQxjI5WooFGJQ\nlN6gFMYviKNS3TUohfHVhIGOjrucCLrl65Cm9Vx5gQ/Wht06E2Yfy3qPubl54OpVYp1DdAdYPV4i\nfqLRWDfKyHIEkdG0hNRIbdd0TRtt/OcH2BrqpEk0xo71QGNjA+rra/D114ewc6ceUmkQMjOXwNas\nLsnATZt2pJbM/lzK0CdgM3+dDhCLJYbfM4Xg4GBMmZKC+fOXsKpcP57GTz9Vw9XVC66urmhrOwix\nOB5SaTzEYn/DeckYngY6HX9QFovFNoMye25Vl8V/TO1ziATjxx9/jPfffx9vvfUWl912dHTg+nVr\n89SuYmvRwZkdHXoLIeh2EVZnIABPPfUUN8qi0WhQWVmJ/Px87NixA7W1tXB3d+fGlpKTk7nmBmnS\nEVX/adNmYcqUGWhvb0d9fT2qq6tQVpYPmr5g8I26hpycDigUUshkUkgkIkMjrQNSqRtvtsowFO7e\nvQ2JxNbYFxvY+G4jj2efF3/QtRwZM82GGUZkWH4Qc0GRzYZhuI+eGwnjK0+Q8oK97jgJfl1BKhUh\nOtoN0dHEykWHpUt/tpnpAsayBbndMlsHWBdcdmuOXfc1feNhLehpREREICYmBjNm0NybEysOcxNK\n5ecoL38DN24wEInicedOKPz8xOjoUBvqxJZnYksHbNnDOrCy1+7odE3YVGCc2Oe0trbipZdegkKh\nwIkTJ8zkGl1cXLpNg5YsOqSlpTm1o0NvIQTdB4BhGCQlJSEpKQkvvPACiOZDYWEh8vPzsW/fPrS1\ntUEul3Mja97e3qiqqkJ6ejoAdl05KSkJjzzyCGg6k2vSbd78HoqL83H0aAEaGuoQGMjAz+8OOjok\nkEhsGVuymbBEIoFKZb19wTBEuo8/6LKrwvYyXa3BmcJSsEUHimJLCq6ubtDrzT3M2KzX6GFFdBfI\nDDFAVL6Ifq2trbH7XwUlUxpdCbrs9hy7GWaaret04MReyNMzfePR60VwcZFyUzOm9X+apjF37hzM\nn89OD7S2tqKqqgplZdWgqMcQHh4OlSoLN282QqOJh1QaBxeXKLDbaGLDtfgCq4ZriNnC0j5HJBLh\n888/x44dO7B582aMHj26W+Z7+bh16xamT5+O7OxseHp6mt12L+Ns/Qkh6HYjFEVh4MCBmDBhAiZM\nmACA/Q9fV1eHkydP4qWXXkJ5eTnGjBmDU6dOcWUJX19fsyYdTdNIS0tDeno6aJqGWq1GbW0tqqqq\nMHz4bYSFhWH16vdRVWXcpFMopBCLKdy+3W7QZrBWQjNmsrYzXTbjtL7NuPwgMgm6xkYZw9CGmqzl\nRppR8EYkEhlE0g2PNpse0EOj0dj8+eZNL9v/BrZuMw269h7L+ozpTLJbI0Qzgq9JCbBrwBKJi5XW\nsmnjinzi8fT0RHp6OjdDDADfffc+qqurUVJSjR9//Ar19Y0AAuHnJ0FHhxpq9RXDCJrpG4FtXQbT\n7JbY51y9ehUvv/wyBgwYgNzcXHh5edn8fTwoZNFh7ty53KdDZ3Z06C2EoNvDiEQiREZG4siRIwgK\nCsKnn34Kf39/FBcXQ6lUYs2aNWhubkZAQAA3N5yYmAiKosxmLcPDwxEVFcU16b7++v8MTbpynDyZ\nj3ffrYJIpEFGhgZ376pRV3cXgwdLzDbpGEZneCF2NlJmHVDYkTESVI2NP+NGGZle4B8pMzbKGEMA\nNJ8eYJuJbBas1eq4TNM4bUAkIu3XdO3JOBqvYX0fUh5gm37WAZe9Dwnc1htpAOscYZlxEnlEIpFI\nfhafoWRAQACCg4MxceJEszdbjUYDT88B2LfvOVy//gPE4mioVPGg6ViIxUEQi62DrqV9jkgkwvHj\nx7FhwwasX78ejz/+eI9mmbYWHZzZ0aG36PNBNycnB8uXL4dWq8WiRYuwatUqR6nOVQcAABOcSURB\nVB+Jl7/+9a9mL8iMjAxkZGQAYP+D/vzzz1AqlTh27Bhef/11qFQqJCQkcCNrISEhhvletkknlUqR\nkpKCESNGgKaXQK/Xo76+Hu7u7khNTcfevdk4fLgVYWFihIWxm3Rs3dDe9AJls+bLLkdoucdbzhCz\n0wk6iESMTZUzo3Gl9e1kjItd86W4hhrJhtk1WLVhm+3eywzsY/jLC+QNBBAZ5l35r8FunFnrQhhv\n14OmO39J8c0P25qnVSgUnA1UUVEubty4gbNnz6KqqhpK5TcoK6uCj4/5x3ZL+5ybN29izZo1UKvV\nOH78OAYNGtTpGR8UvkWHDRs2YPXq1U7r6NBb9Omgq9Vq8eKLLyI3NxfBwcFISUnBk08+idjYWEcf\nzQp7NTeKohAaGorQ0FA8/fTTANj6Z3l5OZRKJTZt2oS6ujoMHDgQw4cPR1paGoYPH25omGk4e/HA\nwEAwDIPHHnscEydOxu3bt1FTU4MzZypQXp6PCxfOYMoU1hTz2LE2rklHXIdpmmRh/GckSmF6PW01\nukWCKsOIeQVzSKZL0wxv0CTXNmovmGvOkuzTOD9sqi0BkNqxPSxruiSgs9elTZ4nfwZIhHhMPz2Y\nwsqA3t9Lyt48rWV9OCEhAUlJSXjmGZqrMQPs78/SPufUqVNYu3YtVq5ciRkzZvRaDdXWogMAp3V0\n6C36dNAtLCxEREQEZAYBjpkzZ+Lo0aNOGXTvFYlEguTkZCQnJ+PFF9lxsytXrqCgoAD5+fnYtWsX\nbty4welKpKWlISIiAgDMMqX4+HgkJiaCpudxTbqgoCB8//0xfPVVAerrzyMggIZMpsHNm+xjLBtp\npItP02z3nm9NmGgr0DS/9gKZRba9HEE24/hHygz3MmSHxgaXUVtCD2IXT0wfTQMMWxowNuNIdmve\nKNNz1+ODnNtWUNbpAIbpHt1b07KE8Tnw14fJcg75nre3N1QqFdatW4dffvkFX3/9NTcxcK88++yz\n+M9//gN/f39UVFQAYJ0c9u3bZ3D6YDPYSZMmPfiTfkjo00G3ubkZoaGh3NchISEoKChw4Il6Doqi\n4OvriyeeeAJPPPEEAJjpSuzdu9emrgSrPGZ8gRKlNYZhoFKpOLlLd/dyREVFoa6uA9nZOgwZooJc\nzkChcIWXlxhisXF5whJWe0EDmra93EBGwuyJnNuq2ZrO6Vp/n+ImBMh0haW2BMm62NErsthhuT1G\nngv/vwHr9ms/0+Wrr3YXfPVhMndLtIy3bduGDz/8kBtdXLBgwQOJ1CxYsAB/+ctfMG/ePLNz9Ccn\nh96mTwfdh3HcxJSu6kqEhoZyQTghIcGqSadQKBAZGQmGmQ6apvHVV3koLS1FZWU5Tp8uxoED1fDy\nusvZyre0dECj8eCmIdizsIGNYRgb2gqkpst0shzBn+maZqm2MmFjOYLPmYL9W2XQ1DS6SLD3B2CS\nIfNfn3WWsH27TqfvNZ0CwNw+x93dnVMHGz16NJ566ik0NDTg3XffRVtbGxYuXHhfP2PUqFFoaGiw\n+n5/cnLobfp00A0ODkZTUxP3dVNTE0JCQhx4IsfSma7EkSNHkJWVBaIrMXz4cDz66KMICAjgut3s\nqq4Ejz76KDIyMjjHgsbGRly8eBFDhw7F++8HYtmyXzFkiFHuMjhYYtIo4y8/kEzb9nSDbUEb4+QB\n/8aaffSGMS92xdo4nWD0aiObZyqVyk6mq7eb6Wo0AE33vJcZn8B4eXk5VqxYgTlz5mDjxo09KsEI\noF85OfQ2fTroJicn49y5c2hoaEBQUBAOHz6MQ4cOOfpYTkVnuhLr1q1DY2MjJBIJrly5gsTERLz5\n5psGCUjjJt3gwYM5ycujR79He3s7ampqUFl5BuXl+Th8uBRisQdcXFyQl3cdCQmukMmknEccyXRp\nmoFazXdOo+CN7TndzjfSzAOycY5YJKJB0zruWpbaEuxj9SAuvpbaEqTsYa/Rxk4v9GzQtbTP0Wg0\n2LJlC3744Qd88MEH92UIea/0NyeH3qZPB12GYbBr1y5MnDgRWq0WCxcu7BdNtJ6ET1di/fr12Llz\nJ2bNmgU3NzfMnTsX7e3tiImJ4Zp0RFeCNGwoikJcXByGDh2KOXOegUgk4lZMW1qa8M03+airO4fB\ng9km3aBBWuh0rjadJUgmay9D69pHWuLsa77Cy2rSduaTRhkEYEQwOjUbDUK1Wp2hJEOuYb080VPl\nBb7s9uzZs1i+fDkmT56Mb7/91u6ETHfSFScHvV6PjIwMvPrqq1yT7d///jcOHDiAY8eO9co5nZU+\nHXQBVmvTGfU2ZTIZvLy8uOZOYWGho49kk/T0dLzwwgtmHW57uhIpKSlISUkxaOPqrLroS5YsA8O8\nDLVajfPnz6OyshIVFQVISmIwZIgMr712Cx0dFBQKCcLDXeHhQXOBkm162QqK6LS8QDzULAV3TKcX\nut4KoEyyXXbNl52ZpczKEuR+fMsR3YGlfY5er8fu3btx9OhR/POf/0RCQkK3/0x7dMXJgaIo7Nmz\nB08//TTGjBkDtVqNV199FcePH+/VszojfT7oOisURSEvL69XBtEflPHjx1t9rzNdif3795vpSqSl\npSEmJsagkGZs0slkMoSHh2PatGmcYLaPjx8qK8uRn5+PAwcq4eGhha+vmmuk8S1nmM7Y2sp4tVp2\nlZrPmaIr2gukkWZvOYKdHhBZNerIfLNKpcKtW7fu2zLH/MzW9jmNjY1YunQpRo4ciRMnTnQqdPOg\nzJo1CydPnsRvv/2G0NBQrF+/Hnl5eV1ycoiPj8eUKVOwadMm3Lp1C5mZmZDL5T163r6AEHR7kP7U\n4bWnK5Gfn4+PP/4YFRUVoGkaSUlJXCD28/Pj5mdJo+2RRx5BamoqaPp56PV6XLx4EVVVVaAowMPD\nDStXfoSSktuGJh2N8HBXrqZr+ZEeIPOr7HCwi4sEKhV/gDMGXduZNHs//t+BrZEyElT1erbOyrpM\naHgtc8h2WWdB2NI+BwA++OADHDx4ENnZ2UhJSbH7+O6Cr0fy7LPPdvnxWVlZ+N3vfgepVIqioqLu\nPFqfRQi6PQRFUXjsscdA0zSef/55PPfcc44+UrdDdCUiIyMxb9486PV6tLe3c7oSq1evxi+//IKA\ngAAkJycjNTUVSUlJXMZLNukGDx7MSV7SNI0TJ37iNunOnCnAv/5VApWqHSEh7GxqTc0d/P73AyCV\nGn3k2DldESybYwQSMG1tSbH30RtmiW1l0uR523o8xQVWUts1ZsFGnQVT5TFyf5FIxL0pWGa3LS0t\nWLZsGWJjY3HixAlIpdKu/PM4BW5ubpg5cyY8PT17PCvvKwhBt4f43//+h8DAQPz6668YP348YmJi\nMGrUKEcfq0chdj+2dCVycnLwxhtvmOlKpKamIiwsjNOVIAEpNjYWCQkJoOlnOClENkhrsGaNEitW\nNMHPj4JCoYVcLoKbm/0RKdMNNVuZrlFbwdY17C9HaDQUr+AN0ZKwXPHVaDRmEyLEnl6r1aKtrQ0y\nmQyfffYZdu/eja1bt2LkyJH3PZvOt1nWW9Y55A1FgEUIuj0EaTT4+flh6tSpKCws7PdBlw9buhJl\nZWUoKCjAli1bUFdXhwEDBnBBODk52WpkzdPTEwMHDoRIJML+/f/C3bt3cenSJdTU1KCiogBnzhTD\nx8cfrq6u+PLLawgIkCA8XApPT5JxwiTo2tJWIELr/M+F9YuzVxNGl6YXLFd8SXbb0dEBhmFw6dIl\nTJo0CWq1Gl5eXpg3bx5Xprhf+DbLNm7c+NBb5zgCIej2AO3t7dBqtfD09MTt27fx7bffIisry9HH\nchokEgk3AcGnK/H2229zuhJEczg8PBxFRUWIjo7mnA8UCgWioqIwdepULoCxVjQUlMp8vPfeGbi7\n34FcDvj6dgDw7kRbQW8QnuE/N5mqsH27dabbGab2OR4eHhCJRDh37hxCQ0OxYsUKbvJlz549vA3P\nrsK3Wdab1jlCpmtECLo9QGtrK6ZOnQqAHfeZM2cO13wSsKYzXYlt27bh+++/h5+fHyZPnsytNHt7\ne1spcDEMg/nzF4KmFwMA16SrqCjCyJE6yGQy7N7dDrWahkwmQkSEK3x8jC8De402Ug62FVe1Wuup\nCVvw2efcuHGDkyb97rvv4O3tDQDcJ4Tupresc4SEwxwh6PYAcrkcpaWljj5Gn4boSvj7++OVV17B\n3//+d8yfP5/bpPvkk0/Q0tKCIUOGWOlKmAqD+/v7IzAwEBMmTOD8yt555wucOVOBigoljhwphVZ7\nA3I5bVhh1vGuKQPWxpXWt3dtOYLPPicvLw/r1q3DmjVrMHXq1F7PDB9W6xxHIATdhwBHNlEeFF9f\nX5w9e5Y729ixYzF27FgAtnUlhg4dypUlgoKCrJp00dHRiIuLw+zZc0BRFC5fvozKykqMG9eGxMRE\nvPaaFs3NtyCXayGT6REe7oqgIAk3x2sr0yVzvLbgs89pb2/H2rVrceXKFXzzzTecXGJvIFjnOAYh\n6D4E9PUmiq03g850JdavX4/Gxkb4+vpyNWTWAJQ2a9J5eHggPT2dm6E9daoU58+fN5QlCnHixI9o\na7vMaUZcvHgD16+7YMAA85ePvUYan30OsWtatmwZZs+e3euZpmCd4xgofX+a4BewSUNDA6ZMmcJl\nujExMTh58iSX7fzhD39ATU2Ng0/Z/ej1erS0tECpVKKgoABFRUVmuhKpqalQKBTc5AIRfzddZKBp\nGtevX0djYyMiIyPxyitLUVFRAjc3DeRyICxMjfBwV3z5pRaLFu3mnJ4JpvY5Li4u6OjowOuvv47a\n2lrs2bMHwcHBPf57MN0sGzx4MP7xj3/gj3/8I/70pz/h4sWLTv1pp78hBN2HBMug6+3tjatXrwJg\nA9OgQYO4r/s7proSSqUStbW1cHNzw/Dhw5GamoqUlBR4eXlxQdi0SWc66tXU1ITKykqcOfMTKioK\ncOHCReze/SGGDRsGwNw+x9XVFQzDoLS0FC+//DIWLFiARYsW9bgEo4DzIQTdhwR7QRcABg0ahLa2\nNkcdz6FY6koUFBSY6UqkpqYiNjaW8yPTGJw3SQAmf7RaLbcAQbJbsVjMrQVv3boVSqUSe/bsQXh4\nuCOfsoADEWq6DylCE8WILV2J8+fPcw4c5eXloGkaw4YNM9OVsGzSkfE1nU4HiUQCV1dXVFdXY/ny\n5Zg2bRpycnK6VYmsL6nZCbAIQfchRWii2EckEiEqKgpRUVHIzMzk1ZVobm5GQEAA16TTarVobW3F\npEmTcP36dSQnJyMyMhK//fYb/va3v2HGjBndLv3Yl9TsBFiE8kI/o6mpCaNHj0ZxcTFXQggNDYW7\nuzuuXr0qNFG6EaIrkZeXhzfffBN1dXXIyMhAcHAwwsLCkJubi7i4OPj5+eHHH39EcXExLly4AFdX\n1247g1wuR1FREXx8fLrtmgI9ixB0+yFbtmzB+fPn8c477+D555+HQqHgNp0Eup+srCzU19cjOzsb\n7u7uKCsrw0cffYTx48ebuSpY2sJ3BwqFAgMGDOjXanb9DSHo9kM0Gg1nv71//36Ulpb2mpXLvcK3\nuLFu3Trs27ePWxTYsGEDZ/nijLDeb475/RIXB6Jmt3PnzodSWKkvIcyr9EMYhsHmzZuxYsUKvPXW\nW04bcAF2cSMnJ8fsexRFYcWKFSgpKUFJSYlTB1ygZyx6ugqfmp2AcyME3X7KsWPHEBQUxGWPzsqo\nUaM4YRdThA9gndPe3o6bN28CAKdmx+dXJuBcCEG3H1JaWorc3Fzk5+dj+/btaGlpcfSR7pmdO3ci\nKSkJCxcuxLVr1xx9HKektbUVo0aNwrBhw5CWlobJkycLanZ9AKGm28/Q6/VIT0/Ha6+9hnHjxmHX\nrl1QKpU4ePCgo49mE8vFjcuXL3P13LVr1+LSpUvYv3+/I48oINBtCJluP2Pv3r2QyWQYN24cAGDJ\nkiWorq7GqVOnHHyyruPv789JDS5atEioUwr0K4TliH7G4sWLsXjxYu5rkUiE4uJiB57o3iEdeQD4\n/PPPhTqlQL9CyHQFHMqsWbOQnp6Os2fPIjQ0FAcOHMCqVauQmJiIpKQknDx5Etu3b3f0MXuUnJwc\nxMTEIDIyEps2bXL0cQR6GKGmKyDgQLRaLaKjo5Gbm4vg4GCkpKTg0KFDiI2NdfTRBHoIIdMVELBD\nU1MTxowZg/j4eCQkJGDHjh0AWOeN8ePHIyoqChMmTLjvCYvCwkJERERAJpNBLBZj5syZOHr0aHc+\nBQEnQwi6AgJ2EIvF2L59OyorK6FUKvH222+jurqac96ora3FuHHj7tt1o7m5GaGhodzXISEhaG5u\n7q7jCzghQtAVELBDQEAAJ0ru4eGB2NhYNDc348svv0RmZiYA1r78iy++uK/rC2aQDx9C0BUQ6CIN\nDQ0oKSlBWlpat9mXBwcHo6mpifu6qakJISEh3XJeAedECLoCAl3g1q1bmD59OrKzs+Hp6Wl224PY\nlycnJ+PcuXNoaGiASqXC4cOH8eSTT3bHkQWcFGFOV0CgE9RqNaZPn465c+dyYu/d5bzBMAx27dqF\niRMnQqvVYuHChcLkQj9HGBkTELCDXq9HZmYmfHx8zOaFV65cCR8fH6xatQobN27EtWvXnNbCXsC5\nEIKugIAdTp8+jYyMDCQmJnIlhA0bNiA1NVVw3hC4L4SgKyAgINCLCI00AQEBgV5ECLoCAgICvcj/\nA8JBaEui20U+AAAAAElFTkSuQmCC\n",
       "text": [
        "<matplotlib.figure.Figure at 0x106668510>"
       ]
      }
     ],
     "prompt_number": 6
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "## Notebooks can be shared online\n",
      "\n",
      "IPython's \"nbviewer\" website: [http://nbviewer.ipython.org](http://nbviewer.ipython.org)"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from IPython.display import IFrame\n",
      "IFrame(\"http://nbviewer.ipython.org\", 800, 600)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "\n",
        "        <iframe\n",
        "            width=\"800\"\n",
        "            height=600\"\n",
        "            src=\"http://nbviewer.ipython.org\"\n",
        "            frameborder=\"0\"\n",
        "            allowfullscreen\n",
        "        ></iframe>\n",
        "        "
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 7,
       "text": [
        "<IPython.lib.display.IFrame at 0x10663f650>"
       ]
      }
     ],
     "prompt_number": 7
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "## Many people use IPython to blog as well\n",
      "\n",
      "Here is an example from my own blog: a post written in IPython notebook and published to the web"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "IFrame(\"http://jakevdp.github.io/blog/2013/08/28/understanding-the-fft/\", 800, 600)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "\n",
        "        <iframe\n",
        "            width=\"800\"\n",
        "            height=600\"\n",
        "            src=\"http://jakevdp.github.io/blog/2013/08/28/understanding-the-fft/\"\n",
        "            frameborder=\"0\"\n",
        "            allowfullscreen\n",
        "        ></iframe>\n",
        "        "
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 8,
       "text": [
        "<IPython.lib.display.IFrame at 0x10663f310>"
       ]
      }
     ],
     "prompt_number": 8
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "## Notebooks can even be viewed as SlideShows\n",
      "\n",
      "<p class=\"gap1\"></p>\n",
      "\n",
      "<img src=\"images/xkcd_hat.jpeg\">\n",
      "<center>(I'm So Meta, Even This Acronymn)</center>\n",
      "\n",
      "<p class=\"gap1\"></p>"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "## So What Is IPython?\n",
      "\n",
      "### *\"Tools for the entire lifecycle of a scientific idea\"*\n",
      "\n",
      "- From **exploration** to **collaboration** to **publication** to **reproduction of results**.\n",
      "\n",
      "- Code + Description + Data + Visualization in one place = True Openness and Reproducibility!\n",
      "\n",
      "### Picking on Nate Silver again...\n",
      "\n",
      "- [2012 FiveThirtyEight Election re-analysis](http://nbviewer.ipython.org/github/jseabold/538model/blob/master/silver_model.ipynb) by Skipper Seabold\n",
      "\n",
      "### Many more notebooks to explore\n",
      "\n",
      "- [Gallery of Interesting Notebooks](https://github.com/ipython/ipython/wiki/A-gallery-of-interesting-IPython-Notebooks)"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "## IPython Architecture\n",
      "\n",
      "<img src=\"images/ipkernel_clients.png\" width=\"40%\">\n",
      "\n",
      "Message passing is *kernel agnostic*\n",
      "\n",
      "Client view is *browser-based*"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "## JS-enabled Frontend gives us *huge* flexibility\n",
      "\n",
      "That is, we can create simple Python scripts that display javascript results:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from intfact import factorizer\n",
      "factorizer()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "javascript": [
        "require([\"//cdnjs.cloudflare.com/ajax/libs/d3/3.4.1/d3.min.js\",\n",
        "         \"widgets/js/widget\"], function(d3, WidgetManager){\n",
        "\n",
        "    // Define the D3ForceDirectedGraphView\n",
        "    var D3ForceDirectedGraphView = IPython.DOMWidgetView.extend({\n",
        "        \n",
        "        render: function(){\n",
        "            this.guid = 'd3force' + IPython.utils.uuid();\n",
        "            this.setElement($('<div />', {id: this.guid}));\n",
        "            \n",
        "            this.model.on('msg:custom', this.on_msg, this);\n",
        "            this.has_drawn = false;\n",
        "            \n",
        "            // Wait for element to be added to the DOM\n",
        "            var that = this;\n",
        "            setTimeout(function() {\n",
        "                that.update();\n",
        "            }, 0);\n",
        "        },\n",
        "        \n",
        "        try_add_node: function(id){\n",
        "            var index = this.find_node(id);\n",
        "            if (index == -1) {\n",
        "                var node = {id: id};\n",
        "                this.nodes.push(node);\n",
        "                return node;\n",
        "            } else {\n",
        "                return this.nodes[index];\n",
        "            }\n",
        "        },\n",
        "        \n",
        "        update_node: function(node, attributes) {\n",
        "            if (node !== null) {\n",
        "                for (var key in attributes) {\n",
        "                    node[key] = attributes[key];\n",
        "                }\n",
        "                this._update_circle(d3.select('#' + this.guid + node.id));\n",
        "                this._update_text(d3.select('#' + this.guid + node.id + '-text'));\n",
        "            }\n",
        "        },\n",
        "                \n",
        "        remove_node: function(id){\n",
        "            this.remove_links_to(id);\n",
        "            \n",
        "            var found_index = this.find_node(id);\n",
        "            if (found_index>=0) {\n",
        "                this.nodes.splice(found_index, 1);\n",
        "            }\n",
        "        },\n",
        "        \n",
        "        find_node: function(id){\n",
        "            var found_index = -1;\n",
        "            for (var index in this.nodes) {\n",
        "                if (this.nodes[index].id == id) {\n",
        "                    found_index = index;\n",
        "                    break;\n",
        "                }\n",
        "            }\n",
        "            return found_index;\n",
        "        },\n",
        "        \n",
        "        find_link: function(source_id, target_id){\n",
        "            for (var index in this.links) {\n",
        "                if (this.links[index].source.id == source_id && this.links[index].target.id == target_id) {\n",
        "                    return index;\n",
        "                }\n",
        "            }\n",
        "            return -1;\n",
        "        },\n",
        "        \n",
        "        try_add_link: function(source_id, target_id){\n",
        "            var index = this.find_link(source_id, target_id);\n",
        "            if (index == -1) {\n",
        "                var source_node = this.try_add_node(source_id);\n",
        "                var target_node = this.try_add_node(target_id);\n",
        "                var new_link = {source: source_node, target: target_node};\n",
        "                this.links.push(new_link);\n",
        "                return new_link;\n",
        "            } else {\n",
        "                return this.links[index]\n",
        "            }\n",
        "        },\n",
        "        \n",
        "        update_link: function(link, attributes){\n",
        "            if (link != null) {\n",
        "                for (var key in attributes) {\n",
        "                    link[key] = attributes[key];\n",
        "                }\n",
        "                this._update_edge(d3.select('#' + this.guid + link.source.id + \"-\" + link.target.id));\n",
        "            }\n",
        "        },\n",
        "        \n",
        "        remove_links: function(source_id){\n",
        "            var found_indicies = [];\n",
        "            for (var index in this.links) {\n",
        "                if (this.links[index].source.id == source_id) {\n",
        "                    found_indicies.push(index);\n",
        "                }\n",
        "            }\n",
        "            found_indicies.reverse();\n",
        "            \n",
        "            for (var index in found_indicies) {\n",
        "                this.links.splice(index, 1);\n",
        "            };\n",
        "        },\n",
        "        \n",
        "        remove_links_to: function(id){\n",
        "            var found_indicies = [];\n",
        "            for (var index in this.links) {\n",
        "                if (this.links[index].source.id == id || this.links[index].target.id == id) {\n",
        "                    found_indicies.push(index);\n",
        "                }\n",
        "            }\n",
        "            found_indicies.reverse();\n",
        "            \n",
        "            for (var index in found_indicies) {\n",
        "                this.links.splice(index, 1);\n",
        "            };\n",
        "        },\n",
        "        \n",
        "        on_msg: function(content){\n",
        "            this.update();\n",
        "            \n",
        "            var dict = content.dict;\n",
        "            var action = content.action;\n",
        "            var key = content.key;\n",
        "            \n",
        "            if (dict=='node') {\n",
        "                if (action=='add' || action=='set') {\n",
        "                    this.update_node(this.try_add_node(key), content.value)\n",
        "                } else if (action=='del') {\n",
        "                    this.remove_node(key);\n",
        "                }\n",
        "                \n",
        "            } else if (dict=='adj') {\n",
        "                if (action=='add' || action=='set') {\n",
        "                    var links = content.value;\n",
        "                    for (var target_id in links) {\n",
        "                        this.update_link(this.try_add_link(key, target_id), links[target_id]);\n",
        "                    }\n",
        "                } else if (action=='del') {\n",
        "                    this.remove_links(key);\n",
        "                }\n",
        "            }\n",
        "            this.start();\n",
        "        },\n",
        "        \n",
        "        start: function() {\n",
        "            var node = this.svg.selectAll(\".gnode\"),\n",
        "                link = this.svg.selectAll(\".link\");\n",
        "            \n",
        "            var link = link.data(this.force.links(), function(d) { return d.source.id + \"-\" + d.target.id; });\n",
        "            this._update_edge(link.enter().insert(\"line\", \".gnode\"))\n",
        "            link.exit().remove();\n",
        "            \n",
        "            var node = node.data(this.force.nodes(), function(d) { return d.id;});\n",
        "            var that = this;\n",
        "\n",
        "            var gnode = node.enter()\n",
        "                .append(\"g\")\n",
        "                .attr('class', 'gnode')\n",
        "                .call(this.force.drag);\n",
        "            this._update_circle(gnode.append(\"circle\"));\n",
        "            this._update_text(gnode.append(\"text\"));\n",
        "            node.exit().remove();\n",
        "            \n",
        "            this.force.start();\n",
        "        },\n",
        "\n",
        "        _update_circle: function(circle) {\n",
        "            var that = this;\n",
        "\n",
        "            circle\n",
        "                .attr(\"id\", function(d) { return that.guid + d.id; })\n",
        "                .attr(\"class\", function(d) { return \"node \" + d.id; })\n",
        "                .attr(\"r\", function(d) {\n",
        "                    if (d.r == undefined) {\n",
        "                        return 8; \n",
        "                    } else {\n",
        "                        return d.r;\n",
        "                    }\n",
        "                    \n",
        "                })\n",
        "                .style(\"fill\", function(d) {\n",
        "                    if (d.fill == undefined) {\n",
        "                        return that.color(d.group); \n",
        "                    } else {\n",
        "                        return d.fill;\n",
        "                    }\n",
        "                    \n",
        "                })\n",
        "                .style(\"stroke\", function(d) {\n",
        "                    if (d.stroke == undefined) {\n",
        "                        return \"#FFF\"; \n",
        "                    } else {\n",
        "                        return d.stroke;\n",
        "                    }\n",
        "                    \n",
        "                })\n",
        "                .style(\"stroke-width\", function(d) {\n",
        "                    if (d.strokewidth == undefined) {\n",
        "                        return \"#FFF\"; \n",
        "                    } else {\n",
        "                        return d.strokewidth;\n",
        "                    }\n",
        "                    \n",
        "                })\n",
        "                .attr('dx', 0)\n",
        "                .attr('dy', 0);\n",
        "        },\n",
        "        \n",
        "        _update_text: function(text) {\n",
        "            var that = this;\n",
        "\n",
        "            text\n",
        "                .attr(\"id\", function(d) { return that.guid + d.id + '-text'; })\n",
        "                .text(function(d) { \n",
        "                    if (d.label) {\n",
        "                        return  d.label;\n",
        "                    } else {\n",
        "                        return '';\n",
        "                    }\n",
        "                })\n",
        "                .style(\"font-size\",function(d) { \n",
        "                    if (d.font_size) {\n",
        "                        return  d.font_size;\n",
        "                    } else {\n",
        "                        return '11pt';\n",
        "                    }\n",
        "                })\n",
        "                .attr(\"text-anchor\", \"middle\")\n",
        "                .style(\"fill\", function(d) { \n",
        "                    if (d.color) {\n",
        "                        return  d.color;\n",
        "                    } else {\n",
        "                        return 'white';\n",
        "                    }\n",
        "                })\n",
        "                .attr('dx', function(d) { \n",
        "                    if (d.dx) {\n",
        "                        return  d.dx;\n",
        "                    } else {\n",
        "                        return 0;\n",
        "                    }\n",
        "                })\n",
        "                .attr('dy', function(d) { \n",
        "                    if (d.dy) {\n",
        "                        return  d.dy;\n",
        "                    } else {\n",
        "                        return 5;\n",
        "                    }\n",
        "                })\n",
        "                .style(\"pointer-events\", 'none');\n",
        "        },\n",
        "        \n",
        "        _update_edge: function(edge) {\n",
        "            var that = this;\n",
        "            edge\n",
        "                .attr(\"id\", function(d) { return that.guid + d.source.id + \"-\" + d.target.id; })\n",
        "                .attr(\"class\", \"link\")\n",
        "                .style(\"stroke-width\", function(d) {\n",
        "                    if (d.strokewidth == undefined) {\n",
        "                        return \"1.5px\"; \n",
        "                    } else {\n",
        "                        return d.strokewidth;\n",
        "                    }\n",
        "                    \n",
        "                })\n",
        "                .style('stroke', function(d) {\n",
        "                    if (d.stroke == undefined) {\n",
        "                        return \"#999\"; \n",
        "                    } else {\n",
        "                        return d.stroke;\n",
        "                    }\n",
        "                    \n",
        "                });\n",
        "        },\n",
        "        \n",
        "        tick: function() {\n",
        "            var gnode = this.svg.selectAll(\".gnode\"),\n",
        "                link = this.svg.selectAll(\".link\");\n",
        "            \n",
        "            link.attr(\"x1\", function(d) { return d.source.x; })\n",
        "                .attr(\"y1\", function(d) { return d.source.y; })\n",
        "                .attr(\"x2\", function(d) { return d.target.x; })\n",
        "                .attr(\"y2\", function(d) { return d.target.y; });\n",
        "\n",
        "            // Translate the groups\n",
        "            gnode.attr(\"transform\", function(d) { return \"translate(\" + d.x + \",\" + d.y + \")\"; });  \n",
        "        },\n",
        "        \n",
        "        update: function(){\n",
        "            if (!this.has_drawn) {\n",
        "                this.has_drawn = true;\n",
        "                var width = this.model.get('width'),\n",
        "                    height = this.model.get('height');\n",
        "                \n",
        "                this.color = d3.scale.category20();\n",
        "                \n",
        "                this.nodes = [];\n",
        "                this.links = [];\n",
        "                \n",
        "                var that = this;\n",
        "                this.force = d3.layout.force()\n",
        "                    .nodes(this.nodes)\n",
        "                    .links(this.links)\n",
        "                    .charge(function (d) {\n",
        "                        if (d.charge === undefined) {\n",
        "                            return -280;\n",
        "                        } else {\n",
        "                            return d.charge;\n",
        "                        }\n",
        "                    })\n",
        "                    .linkDistance(function (d) {\n",
        "                        if (d.distance === undefined) {\n",
        "                            return 30;\n",
        "                        } else {\n",
        "                            return d.distance;\n",
        "                        }\n",
        "                    })\n",
        "                    .linkStrength(function (d) {\n",
        "                        if (d.strength === undefined) {\n",
        "                            return 0.3;\n",
        "                        } else {\n",
        "                            return d.strength;\n",
        "                        }\n",
        "                    })\n",
        "                    .size([width, height])\n",
        "                    .on(\"tick\", $.proxy(this.tick, this));\n",
        "                \n",
        "                this.svg = d3.select(\"#\" + this.guid).append(\"svg\")\n",
        "                    .attr(\"width\", width)\n",
        "                    .attr(\"height\", height);\n",
        "            }\n",
        "\n",
        "            var that = this;\n",
        "            setTimeout(function() {\n",
        "                that.start();\n",
        "            }, 0);\n",
        "            return D3ForceDirectedGraphView.__super__.update.apply(this);\n",
        "        },\n",
        "        \n",
        "    });\n",
        "        \n",
        "    // Register the D3ForceDirectedGraphView with the widget manager.\n",
        "    WidgetManager.register_widget_view('D3ForceDirectedGraphView', D3ForceDirectedGraphView);\n",
        "});\n"
       ],
       "metadata": {},
       "output_type": "display_data",
       "text": [
        "<IPython.core.display.Javascript object>"
       ]
      }
     ],
     "prompt_number": 9
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "(thanks to Brian Granger and Jon Frederic)\n",
      "\n",
      "We'll see more of this later..."
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "## IPython is not just for Python...\n",
      "\n",
      "The Kernel/message passing system is generic enough to **not need Python!**\n",
      "\n",
      "Via *language magics* and *language kernels*, the notebook can be used with an ever-expanding list of programming languages!\n",
      "\n",
      "- [Example: Julia Language](JuliaMagic.ipynb)"
     ]
    }
   ],
   "metadata": {}
  }
 ]
}