Example Notebook for Code in Markdown Cell

gistfile1.py

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 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "heading",
     "level": 1,
     "metadata": {},
     "source": [
      "Python Code in Markdown Cells"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Python variables can be referenced in markdown cells by embedding them in double curly braces: \\{\\{...\\}\\}"
     ]
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": [
      "A simple example"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "a = 2.1234 "
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 83
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "variables": {
       "a": "2.1234"
      }
     },
     "source": [
      "The variable a is {{a}}."
     ]
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": [
      "How does is work ?"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "The embedded code es executed and it's result is displayed instead of the double curly braces. Additionally, the result is stored in the cell metadata:\n",
      "```\n",
      "{\n",
      "  \"variables\": {\n",
      "    \"a\": \"2.1234\"\n",
      "  }\n",
      "}\n",
      "```\n",
      "\n",
      "If a computation result has already been stored, no computation is executed and the stored value is used instead, unless `IPython.notebook.dirty == true`."
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Supported types that can be displayes are text strings, Latex, HTML and images:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from IPython.display import display, Math, Latex\n",
      "b=Latex(r'$b = \\frac{\\epsilon}{2}$')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 88
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "cellhascode": true,
      "hascode": false,
      "variables": {
       "b": "$b = \\frac{\\epsilon}{2}$"
      }
     },
     "source": [
      "You can also embed Latex: {{b}} in here!"
     ]
    },
    {
     "cell_type": "raw",
     "metadata": {},
     "source": [
      "from IPython.display import Image, SVG\n",
      "i = Image(filename='mouse-toy.jpg');"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "cellhascode": true,
      "hascode": false,
      "variables": {
       "i": "<img 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      }
     },
     "source": [
      "Even images can be embedded: {{i}}. Images will be sanitized when loading a notebook. You will have to run the notebook after loading."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "class myimg:\n",
      "    def __init__(self,name, caption):\n",
      "        self.name = name\n",
      "        self.caption = caption\n",
      "    def __repr__(self):\n",
      "        return \"![\" + self.caption + \"](\" + self.name + \")\"\n",
      "    \n",
      "i1 = myimg(\"mouse-toy.jpg\",\"An image\")"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 85
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "variables": {
       "i1": "<img src=\"mouse-toy.jpg\" alt=\"An image\">"
      }
     },
     "source": [
      "You can also embed markdown, so images will be displayed after reloading:\n",
      "{{i1}}"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from IPython.display import HTML\n",
      "import pandas as pd\n",
      "data = pd.DataFrame({'spam':['ham','green','five',0,'kitties'],\n",
      "                     'eggs':[0,1,2,3,4]})"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 87
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "variables": {
       "data": "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>eggs</th>\n      <th>spam</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td> 0</td>\n      <td>     ham</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td> 1</td>\n      <td>   green</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td> 2</td>\n      <td>    five</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td> 3</td>\n      <td>       0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td> 4</td>\n      <td> kitties</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      }
     },
     "source": [
      "Pandas returns a HTML formatted table, which can be displayed:\n",
      "\n",
      "{{data}}"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": []
    }
   ],
   "metadata": {}
  }
 ]
}