gistfile1.txt

{
 "metadata": {
  "name": ""
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "# [Python challenge 0](http://www.pythonchallenge.com/pc/def/274877906944)"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Do you know binary compute?\n",
      "2 ** 38"
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 34,
       "text": [
        "274877906944"
       ]
      }
     ],
     "prompt_number": 34
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "http://www.pythonchallenge.com/pc/def/274877906944.html"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "# [Python challenge 1](http://www.pythonchallenge.com/pc/def/map.html)\n",
      "\n",
      "- K -> M\n",
      "- O -> Q\n",
      "- E -> G"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "## Question so far?"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "source": [
      "## Fragment2"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "source": [
      "## Fragment3"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "source": [
      "## Fragment4"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "source": [
      "## Fragment5"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import string\n",
      "\n",
      "result = []\n",
      "for char in encrypt:\n",
      "    if char in string.ascii_lowercase:\n",
      "        if char == 'y':\n",
      "            char = 'a'\n",
      "            result.append(char)\n",
      "        elif char == 'z':\n",
      "            char = 'b'\n",
      "            result.append(char)\n",
      "        else:\n",
      "            result.append( chr( ord(char) + 2) )\n",
      "    else:\n",
      "        result.append(char)\n",
      "print ''.join(result)"
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "i hope you didnt translate it by hand. thats what computers are for. doing it in by hand is inefficient and that's why this text is so long. using string.maketrans() is recommended. now apply on the url.\n"
       ]
      }
     ],
     "prompt_number": 81
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# sub-slide1"
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "outputs": []
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# sub-slide2"
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "outputs": []
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "# sub-slide3"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "source": [
      "### Framgment1"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "source": [
      "### Fragment2"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "### Slide"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "notes"
      }
     },
     "source": [
      "### Notes"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "## Slide"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "## -??"
     ]
    }
   ],
   "metadata": {}
  }
 ]
}