gistfile1.txt

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "Hello World"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "hello world\n"
     ]
    }
   ],
   "source": [
    "print 'hello world'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "![](http://nbviewer.ipython.org/static/img/example-nb/probabilistic-bayesian.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[0m\u001b[48;5;10;38;5;21mandrew\u001b[0m/  \u001b[38;5;33mgene\u001b[0m/    \u001b[48;5;10;38;5;21mhugh\u001b[0m/   \u001b[48;5;10;38;5;21mjosh\u001b[0m/   \u001b[48;5;10;38;5;21mkinsen\u001b[0m/  \u001b[48;5;10;38;5;21msimon\u001b[0m/\r\n",
      "\u001b[38;5;33mchet\u001b[0m/    \u001b[48;5;10;38;5;21mgraham\u001b[0m/  \u001b[48;5;10;38;5;21mjason\u001b[0m/  \u001b[48;5;10;38;5;21mjulie\u001b[0m/  \u001b[38;5;33mroshan\u001b[0m/  slideshow.ipynb\r\n"
     ]
    }
   ],
   "source": [
    "ls"
   ]
  }
 ],
 "metadata": {
  "celltoolbar": "Slideshow",
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}