ccwang002/Hello Reveal.js.ipynb

## Hello Reveal.js.ipynb
{
 "metadata": {
  "name": ""
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "heading",
     "level": 1,
     "metadata": {
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "Introduction"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "source": [
      "This is a ipython notebook file made on ipython notebook 1.0.0-dev, which aims to combine both Python and R code along with descriptions and show them in both document and HTML5 slide format.\n",
      "\n",
      "I found that it currently works in Python 2.X"
     ]
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "Combine R Code"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%load_ext rmagic"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 1
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "source": [
      "Combined with R and `ggplot2` library"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "%%R\n",
      "library(ggplot2)\n",
      "g <- qplot(wt, mpg, data=mtcars)\n",
      "print(g)"
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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2bZJVq1aZY62TJk2S008/PZlYXZmmveTbvIJkp2s+D88RQAABBBBIVuDkm4LJltDOdCtX\nrpT+/fvLXXfdJVu3bpWqqiqpra2VRYsWyZQpU2T8+PEyf/78dkrgLQQQQAABBKIp4OkW8NixY42a\n/q724MGD5virnn3co0cP0ZOd9HH06FGzJZyb62ko0ew9WoUAAgggYK2A51mvurpann32WencubM5\nsUkvcNH8TGM9y1h3VZeVlRnEV155RfThDGeeeaZMmzbNGeX/CQFODAvPYnCyk/nCE2E8IjnjjDPi\n0VALWhm376dDhw6l3SueJ+DS0lKTQPWYrz769u0rdXV1iYDr6+vNlrHzwje/+U1zsQxnPCcnR3bs\n2OGMpv2/oKCgRb1pFxTgjHoGt66w6BW9bB70J2F6KMLmQc+o12U3kw9fGNofhb6orKyUPXv2mP4I\ng2k6Mej3nP5aw7kGQTplBD2PtkFXhGy/imCquaL5BmWqfeBpAv7tb38rF154ofTs2dOcVVxSUmI6\n6KWXXjIXxdAvYb04RvPdz/r73Na/0dUzlzMdtAw3ysk0jkzmd+J3/mdSVpDzRqEvdLnVB30R5JL0\nRd1R6AtNvvqweXnS+HWwuQ1O/H61wdMEPHToUFm4cKHZ9aydM3nyZPN88ODBMmfOHLP1cM0115hO\n4w8CCCCAAAJxEvA0AXfv3l3uvPNOOXbsWIutWr3OsiZn/akPP/eJ0+JGWxFAAAEEHAFPE7BTSetd\nyvp6893OznT8RwABBBBAIC4Cnv4OOC6ItBMBBBBAAIFUBUjAqYoxPQIIIIAAAi4IkIBdQKQIBBBA\nAAEEUhUgAacqxvQIIIAAAgi4IEACdgGRIhBAAAEEEEhVgAScqhjTI4AAAggg4IIACdgFRIpAAAEE\nEEAgVQEScKpiTI8AAggggIALAiRgFxApAgEEEEAAgVQFSMCpijE9AggggAACLgiQgF1ApAgEEEAA\nAQRSFSABpyrG9AgggAACCLggQAJ2AZEiEEAAAQQQSFWABJyqGNMjgAACCCDgggAJ2AVEikAAAQQQ\nQCBVARJwqmJMjwACCCCAgAsCJGAXECkCAQQQQACBVAVIwKmKMT0CCCCAAAIuCJCAXUCkCAQQQAAB\nBFIVIAGnKsb0CCCAAAIIuCBAAnYBkSIQQAABBBBIVYAEnKoY0yOAAAIIIOCCAAnYBUSKQAABBBBA\nIFUBEnCqYkyPAAIIIICACwIkYBcQKQIBBBBAAIFUBUjAqYoxPQIIIIAAAi4IkIBdQKQIBBBAAAEE\nUhUgAacqxvQIIIAAAgi4IEACdgGRIhBAAAEEEEhVgAScqhjTI4AAAggg4IIACdgFRIpAAAEEEEAg\nVQEScKpiTI8AAggggIALAiRgFxApAgEEEEAAgVQFSMCpijE9AggggAACLgiQgF1ApAgEEEAAAQRS\nFchNdQa/p29qapLc3MzDzM7OdqUcv9vfvL6cnBzJysqyvh1R6AttQ1Ta4cbnq/ly6vdz/UzoZ8Pm\nduiypO2wedA+0MHmftD4/fxcswWs4gwIIIAAAgj4LJD5pqXHAetaYUNDQ8a16NqZG+VkHEgHBSxa\ntEjmz58vvXr1knvvvVfKy8sTcxw/flx0j4AN7UgE3cYTXUO2vQ2NjY2iD9vbEYW+0M+EfjZs7gtn\n75bNbdB+0MHmNmj8fuaK0CdgBYnL8MEHH8jdd99tkuyf/vQnOXr0qMyePTsuzaedCCCAQKwE2AUd\nou7eunWrSb5OSO+//77zlP8IIIAAAhETIAGHqEOHDRsmXbt2TUQ0YcKExHOeIIAAAghES4Bd0CHq\nTz3eu2TJElm+fLk5Bjx06NAQRUcoCCCAAAJuCpCA3dR0oawuXbrI9ddf70JJFIEAAgggEGYBdkGH\nuXeIDQEEEEAgsgIk4Mh2LQ1DAAEEEAizAAk4zL1DbAgggAACkRUgAUe2a2kYAggggECYBUjAYe4d\nYkMAAQQQiKwACTiyXUvDEEAAAQTCLEACDnPvEBsCCCCAQGQFSMCR7VoahgACCCAQZgEScJh7h9gQ\nQAABBCIrQAKObNfSMAQQQACBMAuQgMPcO8SGAAIIIBBZARJwZLuWhiGAAAIIhFmABBzm3iE2BBBA\nAIHICpCAI9u1NAwBBBBAIMwCJOAw9w6xIYAAAghEVoAEHNmu/XPDPvroI9mxY8efX+AZAggggEDg\nAiTgwLvA2wBmzZolI0eOlEsuuUR+9rOfeVsZpSOAAAIIJC1AAk6ayr4Jq6ur5V//9V8TgT/55JNy\n9OjRxDhPEEAAAQSCEyABB2fvec0FBQWiD2coKiqSvLw8Z5T/CCCAAAIBCpCAA8T3umpNvo888oh0\n6dJFunbtKo8++qjk5uZ6XS3lI4AAAggkIcC3cRJINk8ybtw40QcDAggggEC4BNgCDld/EA0CCCCA\nQEwESMAx6WiaiQACCCAQLgEScLj6g2gQQAABBGIiQAKOSUfTTAQQQACBcAmQgMPVH0SDAAIIIBAT\nARJwTDqaZiKAAAIIhEuABByu/iAaBBBAAIGYCJCAY9LRNBMBBBBAIFwCJOBw9QfRIIAAAgjERIAE\nHJOOppkIIIAAAuES8PRSlIcOHZIlS5bIgQMHpLKyUq688kpzLeKlS5fKunXrjERpaanceuut4VIh\nGgQQQAABBDwW8DQBr1ixQvr16yff+MY3ZOHChfLOO+/IkCFDZMOGDXL77bdLfn6+ZGVledxEikcA\nAQQQQCB8Ap4mYL0RfElJiWm13gZPt4QbGxulpqZG1q9fL01NTTJo0KAWKvX19aIPZ8jJyZHs7Mz3\nlGuid6McJ64g/jvxO/+DiMGNOqPQF9qGqLQjCsuT7X0RheXJWY6c/258VwRRhp/LkqcJuKyszPht\n2bJF1q5dKzNmzBDdLa1JWR87d+6UOXPmyPTp0xPOy5Ytk5dffjkxfuaZZ5r5Ei/wRHr27IlCSAQq\nKipCEkm8wzjjjDPiDRCi1sft+0lzWrpD1omt0KZ0Z05mvo0bN8rixYvltttuk/Ly8i/N8tOf/lT+\n5m/+Rpxk/aUJTrywffv2tl5O6TW9N25dXV1K84Rt4uLiYtHH7t27wxZaSvEUFhZKbW1tSvOEbeJT\nTz3V7Kmprq4OW2gpxROFvujWrZvs2bNHjh07llLbwzSx7unTLa+GhoYwhZVSLNoG7YuqqqqU5gvb\nxKnmCt2Y1HuupzNkvm+3nVo3b94sukU7bdq0RPLdu3evzJs3z8ylC5t+aDp37txOKbyFAAIIIIBA\n9AQ83QX9wgsvmDW6xx57zMjp8d7Ro0ebrbi5c+eatdYrrrjC+mOz0VssaBECCCCAgNcCnibg+++/\nv834J06caHbf6cF63W3BgAACCCCAQNwEPE3A7WHqWdEMCCCAAAIIxFXA02PAcUWl3QgggAACCHQk\nQALuSIj3EUAAAQQQ8ECABOwBKkUikKzA8uXL5Xvf+548/vjj1v9MLtk2Mx0CCHwhENgxYDoAgbgL\n6CVZ9ffxzk/xjxw5IjNnzow7C+1HIDYCbAHHpqtpaNgE3n333UTy1dj0WukMCCAQHwEScHz6mpaG\nTGD48OGiV6JyhlGjRjlP+Y8AAjEQYBd0DDqZJoZTQK+Zu2jRInPt87POOku+9a1vhTNQokIAAU8E\nSMCesFIoAskJ9O3b15yEldzUTIUAAlESYBd0lHqTtiCAAAIIWCNAAramqwgUAQQQQCBKAiTgKPUm\nbUEAAQQQsEaABGxNVxEoAggggECUBEjAUepN2oIAAgggYI0ACdiariJQBBBAAIEoCZCAo9SbtAUB\nBBBAwBoBErA1XUWgCCCAAAJREiABR6k3aQsCCCCAgDUCJGBruopAEUAAAQSiJEACjlJv0hYEEEAA\nAWsESMDWdBWBIoAAAghESYAEHKXepC0IIIAAAtYIkICt6SoCRQABBBCIkgAJOEq9SVsQQAABBKwR\nIAFb01UEigACCCAQJQEScJR6k7YggAACCFgjQAK2pqsIFAEEEEAgSgIk4Cj1Jm1BAAEEELBGgARs\nTVcRKAIIIIBAlARIwFHqTY/b8umnn8rRo0c9riX6xX/yySdSW1sb/YbSQgQQaFeABNwuD2+qQGNj\no9x6661y8cUXy5AhQ+SPf/wjMGkINDQ0yJQpU2T48OFywQUXyOrVq9MohVkQQCAqAiTgqPSkh+14\n4403ZPny5aaGmpoaefTRRz2sLbpFr1y5MrHycujQIZk9e3Z0G0vLEECgQ4HcDqdoY4Jhw4bJzp07\nW7yTnZ0t5eXlMmbMGHnooYdExxmiIZCfn9+iIQUFBS3GGUlOoLVj6/HkSmEqBBCIikBaWVJ3Rf7F\nX/yFPPbYYzJ//nyzWy0nJ0dmzZol77zzjjz88MNR8aEdJwQuvPBC+au/+ivRPq6srJQf/vCHuKQh\ncMkll8ikSZPMymn37t3lvvvuS6MUZkEAgagIZDWdGFJtTI8ePWT9+vVSVlaWmHXcuHFy7733in6x\n6HEuN48Tbt++PVFPuk90q62uri7d2UMxX3Fxsehj9+7dgcRz7NgxcWOrrbCw0PqTkE499VSpr6+X\n6urqlPvCLceUK25jhij0Rbdu3WTPnj2irrYOunKblZUlep6ArYO2QfuiqqrK1iaYuFPNFSUlJdKl\nS5e02pzWFrB+aPVMTmfQHL5lyxbz5axnyTZPzM40/LdfwI3ka79C5i3AMXNDSkAgCgJpHQOeOXOm\njBw5UkaNGiUVFRWybNky6dOnj9ktPXDgQFd3UWpyz8vLy9ha187cKCfjQDIoIDc316wl294OPT8g\nCm2ISjts7wvdctTPRho78zL4NLo7qy5L2g592Drod6wOti9PfuaKtBLwLbfcIueff74sXbrU7NZ9\n7rnnZNCgQaJnyP7Xf/2X9O7d23SEW3/0ZzCZDvrhdKOcTOPIZH4nfud/JmUFOW8U+kLbEJV22L48\n6bKsbbC9HZp8bW6Ds/Jgcxt0WfLzc51WAtYgBw8eLGeeeaY5BtarVy99yRyf1GOUbg7aqcePH8+4\nSF0o3Cgn40AyKEDboAuH7e2IShui0o4oLE9R+Hy79V2XwVeMK7Pavjz5uSyldQz4//7v/8yZsXrg\nuX///uYA9G9+8xtXOo9CEEAAAQQQiINAWgl46tSpMmHCBHM27oEDB2TBggXy/e9/XzZu3BgHM9qI\nAAIIIIBAxgJpJWDdAtafHOlPMfSA+6WXXur6T48ybhkFIIAAAgggEGKBtBKwnoD1y1/+MvGbtV27\ndslLL70keoUsBgQQQAABBBDoWCCtBKw/eNczoXUL+JxzzpEzzjhD3n//fbn22mvl7LPPNhfu77hq\npkAAAQQQQCC+AmmdBf2Tn/zEXO/5ZGxciONkMryOAAIIIIDAFwJpJeDzzjtP9OSrzZs3t/jx+9e+\n9jU55ZRTsEUAAQQQQACBDgTSSsAPPPCAPPnkk3LaaaeZC/Q7deht6kaPHu2M8h8BBBBAAAEETiKQ\nVgL+xS9+IR988IE5BnyScnkZAQQQQAABBNoRSOskLD3p6vDhw+0Uy1sIIIAAAggg0J5AWlvATzzx\nhLkS1pgxY1rchunGG2+Uc889t736eA8BBBBAAAEETgiklYDvueceGTBggLk5u97Fwxmcu2E44/xH\nAAEEEEAAgbYF0krAeu9fvR8w9zVtG5VX/yygN6x/5plnRO8TrXtIKisr//wmzxBAAIEYC6SVgC+/\n/HJZvny5XHnllTGmo+nJCNxxxx3ypz/9yUy6ePFiefXVV6WwsDCZWZkGAQQQiLTAn/cfp9DM2tpa\nueqqq8zxX73ylfN45ZVXUiiFSaMuoLf1Wr16daKZH3/8sezYsSMx7vWTTZs2ydVXXy0XXXSRuXSq\n1/VlUv57771nVmiHDh0qv/71rzMpinkRQMASgawT9zRtSjXWd999V/RylK2Hvn37SkVFReuXMx7f\nvn17xmUUFBRIXV1dxuUEWYDea1kfu3fvDjKMlOq+4YYb5L//+7/NPN26dZMVK1ZIaWmp6Eqc18P4\n8eNl7dq1iWp0r43ew9qNQS/DWl9fb+6H7UZ53/72t83lXLUsvS/sa6+9Jurl9aB7I/zoCy/boU57\n9uxp8zvJy3rdLFvPn9F+b2hocLNYX8vSNmhfVFVV+Vqv25WlmitKSkpanIycSjxp7YLWK2ExIJCM\nwJw5c8zWpx4D/s53vuPreQOff/55ixD37dvnWgJuUbALI81j1XXi/fv3+5KAXQidIhBAIE2BtHZB\np1kXs8VQQLd2Z8yYIffdd5/vCUWPP+tWhQ66a3fQoEGh7YE777wzEdtll11mfmWQeIEnCCAQSYG0\ntoAjKUGjIicwefJkGT58uOzdu9f8Pj3MP5ObOnWqaOLVa6zrHiZnxSFynUKDEEAgIUACTlDwJIoC\nPXr0EH3YMPTu3duGMIkRAQRcEmAXtEuQFOONwM6dO+UPf/iDayc7tRXlwYMHTR02ndzWVjt4DQEE\n7BJgC9iu/opVtHr29He/+11zdmvXrl1l0aJFov/dHPSnUddcc43oCVpFRUXy7LPPysCBA92sgrIQ\nQACBNgXYAm6ThRfDIDBv3rzET0t061QTsNvD7373O5N8tVw9U1sTMAMCCCDghwAJ2A9l6khLQO+6\n1Xw4/fTTm4+68rx1ma3HXamEQhBAAIE2BNgF3QYKL4VDYPr06fLZZ5/JunXrRO+85cWlTydOnCgb\nNmwwFwjRnyndfvvt4Wg8USCAQOQF0roSlt8qXAnrC3Ebr4TV1rIShasvuX0lrLac/HgtCn3BlbD8\nWFI6roMrYXVs1HoKdkG3FmEcAQQQQAABHwRIwD4gUwUCCCCAAAKtBUjArUUYRwABBBBAwAcBErAP\nyFSBAAIIIIBAawEScGsRxhFAAAEEEPBBgATsAzJVIIAAAggg0FqABNxahHEEEEAAAQR8ECAB+4BM\nFQgggAACCLQWIAG3FmEcAQQQQAABHwRIwD4gUwUCCCCAAAKtBTy9FvShQ4dkyZIlcuDAAamsrDTX\n8s3NzZVNmzbJqlWrpKGhQSZNmiRcAL91tzCOAAIIIBB1AU+3gFesWCH9+vVLXOD+nXfekdraWnNb\nuSlTpsj48eNl/vz5UTemfQgggAACCHxJwNMt4JEjR0pJSYmpNC8vz2wJ79q1S3r06CGdOnUyD70H\nq24J65axDjU1NXL48GHzXP/k5+cn3ku8mMYTvVC4U0cas4diFm1DVlZWJNphe19kZ2eLPmxvRxQ+\nF/qZsL0dzmc7FF80aQahbdAhbp8JXf7SHTxNwGVlZSauLVu2yNq1a2XGjBnywQcfmMTrBFxUVGSS\nrjPt6tWr5dVXX3Xelj59+shNN92UGI/zE+1ofbS+T26cTYJqu/aDLrudO3cOKgTq/f8CuiLUpUsX\nPEIgEMfvJ91oTHfwNAFrUBs3bpTFixfLHXfcYb6w9PZndXV1iXjr6+tFb7PnDJdffrnoo/nA7Qi/\n0OB2hM2XimCfczvCYP2b187tCJtrBPdct4C1L3bs2BFcEC7UXFBQ0CJHdVSks5e3o+naet/TY8Cb\nN2+WZcuWybRp06S8vNzUr1tvn3zyiTQ1NYnuftb/tu+yaAuW1xBAAAEEEGhPwNMt4BdeeMEc333s\nscdMDIMGDZLRo0fL4MGDZc6cOaJnSV9zzTXtxcd7CKQl8Pnnn8ujjz4qn332megJf5deemla5TAT\nAggg4JWApwn4/vvvbzPuESNGyNChQ81JLHr8hgEBtwXuu+8+s/dFy33jjTdk5cqV5qdwbtdDeQgg\ngEC6AoFlP93tTPJNt9uYryMBPffAGY4dOyYffvihM8p/BBBAIBQCgSXgULSeICIrMG7cuETb9MSQ\ngQMHJsZ5ggACCIRBwNNd0GFoIDHEU2DmzJmi5xzs3r1bxowZ0+JM+3iK0GoEEAibAAk4bD1CPK4J\njBo1yrWyKAgBBBBwW4Bd0G6LUh4CCCCAAAJJCJCAk0BiEgQQQAABBNwWIAG7LUp5CIRMYM2aNfLM\nM8/IRx99FLLIvgjHia+qqiqU8REUAl4JkIC9kqVcBEIgsGDBArn++uvlwQcfNCejhS0J68V6msdH\nEg7BQkMIvgmQgH2jpiIE/BfQ67A7g176tfmNTpzXg/zfPL4jR46I3sKUAYG4CJCA49LTtDOWAl//\n+tdbtLt///4txoMeaR1f6/Gg46N+BLwU4GdIXupSNgIBC9x9993mhid6ZTC9OMlFF10UcEQtq9f4\ndHDiu/DCC1tOwBgCERYgAUe4c2kaAnprNb0oSVgHvT1pmOMLqxtxRUOAXdDR6EdagQACCCBgmQAJ\n2LIOI1wEEEAAgWgIkICj0Y+0AoGTCtTV1ZnfADc2Np50Gt5AAAH/BUjA/ptTIwK+Caxfv16GDRsm\nI0eOlPHjx4v+1IcBAQTCIUACDkc/EAUCngg8+eSTsm/fPlP2e++9J7///e89qYdCEUAgdQEScOpm\nzIGANQJFRUUtYtWzjhkQQCAcAiTgcPQDUSDgicCMGTPk7LPPluzsbHMpSv0tMAMCCIRDgN8Bh6Mf\niAIBTwR69uwpL7/8sjQ0NEhuLh93T5ApFIE0BdgCThOO2RCwSYDka1NvEWtcBEjAcelp2okAAggg\nECoBEnCouoNgEEAAAQTiIkACjktP004EEEAAgVAJkIBD1R0Eg4B3AtXV1eauQ3pCFgMCCAQvQAIO\nvg+IAAHPBd58801zRayrrrpKrr76aqmpqfG8TipAAIH2BUjA7fvwLgKREHjqqacSSXfTpk2yZMmS\nSLSLRiBgswAJ2ObeI3YEkhQoKytrMWXr8RZvMoIAAr4IkIB9YaYSBIIV+MEPfiDnn3++6KUpJ0+e\nLKNHjw42IGpHAAHh0jgsBAhEXGD//v2yd+9emT9/vhQUFES8tTQPAXsE2AK2p6+IFIGUBd566y0Z\nPny4uRXhlVdeKQcPHky5DGZAAAFvBEjA3rhSKgKhEHj66acT9wD+8MMPZdGiRaGIiyAQQECEBMxS\ngECEBSoqKlq0rry8vMU4IwggEJwAx4CDs6dmBDwXuOeee6SqqspcgGPs2LGiu6EZEEAgHAIk4HD0\nA1Eg4InAaaedJs8995wnZVMoAghkJsAu6Mz8mBsBBBBAAIG0BEK/BdzU1CT5+flpNa75TDk5Oa6U\n07xMv5/rPV2zsrKsb0cU+kLb0NjYSF/4/SFooz79TOTl5bXxjj0vZWdnm8+2/rd1cGJ34/s6SAM/\nv59Cn4C1I+rr6zPuD1043Cgn40AyKEAXbF0hsb0duoDb3gZNvsePH7e+HVHoC/1M6A0mbF6mtB90\nRcLmG2VoG3SwuR80/lRzRSYrHKFPwLpQ6gcs00HLcKOcTOPIZH4nfud/JmUFOS99EaR+y7q96Itl\ny5bJQw89ZCp64IEHZNSoUS0r9WDMi3Z4EOZJi3Q+087/k04Y4jec2J3/IQ613dA0fr/aYO/+jnYJ\neRMBBIIQ0K2fv/3bv5WPP/7YPPS57VtEQThSZzwESMDx6GdaiYAvArW1tYm7LmmFettDfY0BAQS+\nLEAC/rIJryCAQJoCnTt3lptuuikx99SpU0VfY0AAgS8LhP4Y8JdD5hUEEAizwI9+9CO5/vrrzXG0\ns846K8yhEhsCgQqQgAPlp3IEoinQr1+/aDaMViHgogC7oF3EpCgEEEAAAQSSFSABJyvFdAgggAAC\nCLgoQAJ2EZOiEEAAAQQQSFaABJysFNMhgAACCCDgogAJ2EVMikIAAQQQQCBZARJwslJMhwACCCCA\ngIsCJGAXMSkKAQQQQACBZAVIwMlKMR0CCCCAAAIuCpCAXcSkKAQQCJeA3jKSAYGwCpCAw9ozxIUA\nAmkL1NXVyc033yx6Kczx48fL7t270y6LGRHwSoAE7JUs5SKAQGACv/nNb2TFihXS2Ngoa9eulZ//\n/OeBxULFCJxMgAR8MhleRwABawWOHj3aIvYjR460GGcEgTAIkIDD0AvEgAACrgpcd9110rdvX1Pm\nV77yFbnttttcLZ/CEHBDgLshuaFIGQggECqB8vJyefnll2XHjh1SWVkpBQUFoYqPYBBQARIwywEC\nCERSIDc3V/r06RPJttGoaAiwCzoa/UgrEEAAAQQsEyABW9ZhhIsAAgggEA0BEnA0+pFWIIAAAghY\nJkACtqzDCDc6AjU1NdLU1BSdBtESBBBISYAEnBIXEyOQuYBeHvGuu+6Sc845Ry6++GLZuHFj5oVS\nAgIIWCdAArauywjYdoFXX31VXnrpJdOMnTt3yiOPPGJ7k4gfAQTSECABp4HGLAhkItD6BgGtxzMp\nm3kRQMAeARKwPX1FpBERGDVqlFx66aWmNaeccorcc889EWkZzUAAgVQEuBBHKlpMi4ALAnqBiGee\neUb27NkjFRUVouNBDroFfvjwYSkrKwsyDOpGIHYCbAHHrstpcFgE9BrFQSfft956Sy644AI5//zz\nZdq0aebuQWHxIQ4Eoi5AAo56D9M+BNoRePjhh2Xfvn1miiVLlshrr73WztS8hQACbgqQgN3UpCwE\nEEAAAQSSFCABJwnFZAhEUeCHP/yhnHrqqaZpY8eOlREjRkSxmbQJgVAKBHv2RyhJCAqBaAns379f\nCgsLpaio6EsNGzx4sKxZs0b0qlylpaVfet/NFw4ePGiOeRcXF7tZLGUhYK0AW8DWdh2BI9CxwIMP\nPiiDBg2SgQMHyuLFi9ucIScnx/Pk+8///M/mRC892eu5555rMw5eRCBuAiTguPU47Y2NwLZt28zP\nnbTBdXV18uMf/ziQtuvPrf7lX/7F1N3Q0GDi4OIjgXQFlYZMwJdd0AsXLpSvfvWr5tq32v6lS5fK\nunXrDIXu9rr11ltDxkI4CNgvoFu2zYfW483f8/K51puVlZW48YQz7mWdlI2ADQKebgHrWve8efPM\nMSZd83WGDRs2yO233y7Tp0+XqVOnOi/zHwEEXBTo3bu3+W1vdna2dO7cWR566KGkStfrU+tvgv/y\nL/9S9KdJmQ56ta/77rvPHP/V49D/8A//IBoTAwJxF8g6cTs0z+6Hpr8v/Oyzz0R3hfXo0cMcA2ps\nbBT97aFejk+r1uNT+fn5iX7QeZzfJeqL+oF148OqdRw7dixRj41P1EJPptGTamweotAXetUoXanU\nk5fCPhw9etR8xtraAm6rL2644QZZtWqVaZbO8/rrr0uvXr0ybqaukGt5bl98RC9oop+J5iv5GQfr\ncwFO39i8a16/p7Uvdu3a5bOeu9W19Zlorwad3vklQXvTtfWep7ugdc1XH5qAneHQoUNSUlJiHrqm\nPWfOHLMl7Lyvt2b74x//6IxKz5495dprr02Mp/uk+S6wdMsIej5dwPWRbmcHHb9TfxT6Qr8w9YOn\nK0Q2D231xUcffZRokiYETW66ohzWQfuivLw8sYs7rHF2FFdbfdHRPGF7X9sQt+8nXcFNd/A0AbcV\nlG45zJgxw7w1YMAAefvtt0V/nuBch3b48OGij+bD9u3bm4+m9bygoMCciJLWzCGZSX++oY/du3eH\nJKL0wtCkVVtbm97MIZlLv2Tq6+uluro6JBGlF0ZbfTFx4kT5p3/6J1OgnrvRp08f+fTTT9OrwIe5\nunXrZq6rbfMeLl2J0ORl+1a89kWYl5VkFsdUc4VuUKY7+J6A9+7da+6F+p3vfMcsbPqh0eNTDAgg\nEA6Bu+66S4YMGWJ2JV522WXWb+WHQ5UoEPiygO8JuEuXLmYrbu7cuWat9YorrnDlGO+Xm8YrCCCQ\nroDeoIEBAdsEdK/UrFmzZPXq1WZP6r333uv6OQdumviSgMeNG9ciZt3FpVB6PNM5+aDFBIwggAAC\nCCCQosCvfvUr+bd/+zcz16ZNm8zJvzfeeGOKpfg3uS8JuK3m5OXltfUyryGAAAIIIJCWQPMTCLWA\n1uNpFerhTPwYz0NcikYAAQQQ8E9gwoQJoidR6aAnGOp4mIfAtoDDjEJsCCCAAAL2CZx33nmyfPly\nWbt2rfnpXGVlZagbQQIOdfcQHAIIIIBAKgLdu3cXfdgwsAvahl4iRgR8FtCr0W3dutX6i1v4zEZ1\nCKQkQAJOiYuJEYi+gN628KKLLjKXi7355ptFLx/LgAAC7guQgN03pUQErBaYPXu2+ZmgNmLlypXy\n1ltvWd0egkcgrAIk4LD2DHEhEJBA6yvTtR4PKCyqRSByAiTgyHUpDUIgMwG9baFe/7lTp05y9913\nS//+/TMrkLkRQKBNAc6CbpOFFxGIr8C5554rK1asiC8ALUfAJwG2gH2CphoEEEAAAQSaC5CAm2vw\nHAEEEEAAAZ8ESMA+QVMNAggggAACzQVIwM01eI4AAggggIBPAiRgn6CpBgEEEEAAgeYCJODmGjxH\nAAEEEEDAJwESsE/QVIMAAggggEBzARJwcw2eI4AAAggg4JMACdgnaKpBAAEEEECguQAJuLkGzxFA\nAAEEEPBJgATsEzTVIIAAAggg0FyAa0E31+A5Agj4KrBt2zb5j//4DykrK5NbbrlFSkpKfK2fyhAI\nUoAEHKQ+dSMQY4HDhw/LddddJ59//rlR2LBhgzz99NMxFqHpcRNgF3Tcepz2IhASga1btyaSr4a0\nZs2akERGGAj4I0AC9seZWhBAoJXAWWedJV27dk28Onz48MRzniAQBwF2Qcehl2kjAiEU6NSpkyxY\nsECeffZZqaiokBtvvDGEURISAt4JkIC9s6VkBBDoQKB79+4yc+bMDqbibQSiKcAu6Gj2K61CAAEE\nEAi5AAk45B1EeAgggAAC0RQgAUezX2kVAggggEDIBUjAIe8gwkMAAQQQiKYACTia/UqrEEAAAQRC\nLkACDnkHER4CCCCAQDQFSMDR7FdahQACCCAQcgEScMg7iPAQQAABBKIpQAKOZr/SKgQQQACBkAuE\n/kpYTU1NUlhYmDFjTk6OZGVlZVxOkAXk5eVJdna2Kx5BtiM3N9f6Nujy5NaySV9kJqCf6/z8fPPZ\nyKyk4ObWNuhDPxu2DvrdpIMb39dBGviZK0Lf27pQ1tbWZtwfBQUFUldXl3E5QRagC4Z+0bjhEWQ7\n9ANqexuKi4uloaHB+nZEoS90RejYsWPmEeRynUndzpe+LlO2DtoGHWz/bKeaKzK5hzW7oG1d2okb\nAQQQQMBqARKw1d1H8AgggAACtgqQgG3tOeJGAAEEELBagARsdfcRPAIIIICArQIkYFt7jrgRQAAB\nBKwWIAFb3X0EjwACCCBgqwAJ2NaeI24EEEAAAasFSMBWdx/BI4AAAgjYKkACtrXniBsBBBBAwGoB\nErDV3UfwCCCAAAK2CpCAbe054kYAAQQQsFqABGx19xE8AggggICtAiRgW3uOuBFAAAEErBYgAVvd\nfQSPAAIIIGCrAAnY1p4jbgQQQAABqwVIwFZ3H8EjgAACCNgqQAK2teeIGwEEEEDAagESsNXdR/AI\nIIAAArYKkIBt7TniRgABBBCwWoAEbHX3ETwCCCCAgK0CJGBbe464EUAAAQSsFiABW919BI8AAggg\nYKsACdjWniNuBBBAAAGrBUjAVncfwSOAAAII2CpAAra154gbAQQQQMBqARKw1d1H8AgggAACtgqQ\ngG3tOeJGAAEEELBagARsdfcRPAIIIICArQIkYFt7jrgRQAABBKwWIAFb3X0EjwACCCBgqwAJ2Nae\nI24EEEAAAasFcq2OnuARQAABBGIhUFdXJ88//7wcOnRIrr32WunSpUvK7W5qapJFixbJhx9+KGPH\njpW+ffumXIabM5CA3dSkLAQQQAABTwRmzJghr7zyiilbE/HSpUslPz8/pboef/xxmT17tpnn6aef\nlmXLlkllZWVKZbg5Mbug3dSkLAQQQAABTwRWrFiRKPejjz6Sbdu2JcaTfdK8jCNHjsjq1auTndWT\n6UjAnrBSKAIIIICAmwKDBg1KFHfqqadKr169EuPJPmleRk5Ojpx33nnJzurJdOyC9oSVQhFAAAEE\n3BR44okn5KmnnjLHgG+++Wbp1KlTysXPnDlTTjnlFHMMeMKECXLmmWemXIabM5CA3dSkLAQQQAAB\nTwR0q/f+++/PqOyCggKZNm1aRmW4ObMvCXjhwoXy1a9+Vc455xwT+6ZNm2TVqlXS0NAgkyZNktNP\nP93NNlEWAggggAACoRfw9BiwnjY+b948WbNmjUm2qlFbW2tOA58yZYqMHz9e5s+fH3okAkQAAQQQ\nQMBtAU+3gGtqamTw4MFSUVGRiHvXrl3So0cPs/9e9+EfPXrUJOfc3C9C+eyzz2Tnzp2J6UtKSqSs\nrCwxnu6TvLw80YPuNg+6+0TbkM6xjzC1W/siO9vTdT/Pm+ssr/SF59QdVqDLUmFhoTh90uEMIZxA\n25CVlSXHjx8PYXTJheR8pqPwmUglVzjtTk6p5VSeJmA92K2P5qeLHzhwoEUCKSoqEk3UTpKtqqqS\nN998MxGl/kZrzJgxifF0nyhSY2NjurOHYj5dKPTRuXPnUMSTbhBR6Atnhc7mL33tvyj0hSYu/dLX\niyzYOmgbdLC9DdqOuH0/HTt2LO3FztME3FZUuqaqu6adob6+XoqLi51RueCCC8wj8cKJJ9u3b28+\nmtZz3XpsXm9ahQQ8kzrpY/fu3QFHkln1ugzooQibBz0hRJfd6upqm5ththxt74tu3brJvn37JJMv\nwqA7UVesNXnpeTG2DtoG7Qvdy2nzkGqu0L206Q6+7wc844wz5JNPPjFrerr7Wdf4bN+KSBef+RBA\nAAEE4ivg+xZwaWmpOS48Z84c83uua665Jr76tBwBBBBAILYCviTgcePGtQAeMWKEDB061Bx/yuQA\ndotCGUEAAQQQQMAiAV8ScFse7HZuS4XXEEAAAQTiIuD7MeC4wNJOBBBAAAEE2hMgAbenw3sIIIAA\nAgh4JEAC9giWYhFAAAEEEGhPgATcng7vIYAAAggg4JEACdgjWIpFAAEEEECgPQEScHs6vIcAAggg\ngIBHAiRgj2ApFgEEEEAAgfYEsk5cCtLeK5i317IIvvc///M/sm7dOpk6dWoEW2dXk55//nlzH+tL\nLrnErsAjGO2sWbPkxhtvlO7du0ewdfY0SW+088gjj8g//uM/2hN0wJGyBRxwB6RSvd6qTG8AwBC8\ngF743+YL5wcv6F4EepMVtiPc80y3JO0D2294k27b052PBJyuHPMhgAACCCCQgQAJOAM8ZkUAAQQQ\nQCBdAY4BpysXwHz79+8395/t1atXALVTZXOBjz/+2NxLt0uXLs1f5nkAAu+//7707NlTioqKAqid\nKh0BPTz2wQcfyIABA5yX+N+BAAm4AyDeRgABBBBAwAsBdkF7oUqZCCCAAAIIdCBAAu4AiLcRQAAB\nBBDwQiCw+wF70Zgol/m///u/8vbbb0tOTo7ob0/79u0b5eaGum1LliyRqqoq6dy5s0yaNEkKCgpC\nHW/Ug9NjwPr5uOGGG6Le1NC2b9OmTfLSSy8l4rvlllukrKwsMc6TtgXYAm7bJVSv1tTUyKpVq8wF\nOK677jr53e9+x+8eA+qhzZs3i/bHHXfcIV27dpXXX389oEioVgWOHDkiv//97+XQoUOABCiwZcsW\nGTVqlEyfPt08SL7JdQYJODmnQKfKz8+X2267TXJzc83j4MGDJOCAeuTss8+Wa6+9Vo4ePSqffPKJ\nlJeXBxQJ1arACy+8IKNHjwYjYAH9VYCuDL322mvmsxFwONZUTwK2oKvy8vLM7k698tKvfvUr84WT\nnU3XBdl1CxYsMAn49NNPDzKMWNf95ptvSrdu3aSysjLWDmFovPN9VFpaKrNnz+aKWEl2Cj9DShIq\n6Mn00oe//OUv5ayzzpJvfvObQYdD/ScEdK1ft8BmzJiBh88CurX1k5/8RC6//HI5fPiwvPvuuzJx\n4kT52te+5nMkVNda4D//8z+lR48eMnjw4NZvMd5KgM2oViBhHG1sbJSnn35avvGNb5B8A+4gvSGG\nHo/XQa99W1JSYp7zx18BPRnx6quvluLiYnNBFB3XQzUM/gvo99NTTz0lupGgw65du9grkWQ3cBZ0\nklBBTrZ27VrZtm2bOdHk1VdfNaHoyQ6dOnUKMqxY1n3uuefKv//7v8uHH35oboxx1VVXxdIh6Ebr\nmefOFtbu3btl69at0qdPn6DDimX9uvt50KBBMnfuXPOZOO2000jASS4J7IJOEorJEGguoGv7bHE1\nF+F53AV0S1gvR8nP8pJfEkjAyVsxJQIIIIAAAq4JcAzYNUoKQgABBBBAIHkBEnDyVkyJQOQE9Ezu\nxx9/PHLtokEI2CBAArahl4gRAY8E9MIJS5cu9ah0ikUAgfYESMDt6fAeAhYLjBkzRt555x3TghUr\nVsj5558vx48fN+MPP/yw/OxnP5Pvf//75mdVf/3Xf21xSwkdATsFSMB29htRI9ChQO/evWX58uVm\nOt3KXb9+vbz33ntm/Pnnn5eRI0fKQw89JBdffLHMmTOnw/KYAAEE3BUgAbvrSWkIhEbgW9/6VuKi\nIX/4wx9kwoQJ5uYRe/bsEX0MHDjQXMhCL3XKBUVC020EEiMBEnCMOpumxktAL9O4Zs0aqa6uNgl3\n8uTJ8sYbb4hezEVvYJCVlRUvEFqLQMgEuBJWyDqEcBBwS0DvVzxgwABzmcChQ4fKiBEjzK3i9PKN\nenyYAQEEghVgCzhYf2pHwFMB3Q2td6fR5NulSxfRu9W8+OKL5t6tWrEmY729JQMCCPgvQAL235wa\nEfBNQBOwXhxfE7AOl1xyiXz961+XiooKM67Xtt64caM5Q9q8wB8EEPBNgEtR+kZNRQiEU0Cv4VtX\nVydFRUXhDJCoEIioAAk4oh1LsxBAAAEEwi3ALuhw9w/RIYAAAghEVIAEHNGOpVkIIIAAAuEWIAGH\nu3+IDgEEEEAgogIk4Ih2LM1CAAEEEAi3AAk43P1DdAgggAACERUgAUe0Y2kWAggggEC4BUjA4e4f\nokMAAQQQiKgACTiiHUuzEEAAAQTCLfD/ADDUtOAKqHwtAAAAAElFTkSuQmCC\n"
      }
     ],
     "prompt_number": 2
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": []
    }
   ],
   "metadata": {}
  }
 ]
}