Nbconvert Support.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Atx-style headers"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Heading level 1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Heading level 2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Heading level 3"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Heading level 4"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Heading level 5"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Heading level 1 #"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Heading level 2 ##"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Heading level 3 ###"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Heading level 4 ####"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Heading level 5 #####"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Setext-style headers"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Heading level 1\n",
    "========\n",
    "\n",
    "Heading level 2\n",
    "--------------"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Multiple headers in one cell\n",
    "\n",
    "# Heading level 1\n",
    "## Heading level 2\n",
    "### Heading level 3\n",
    "#### Heading level 4\n",
    "##### Heading level 5"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Bold**, *italic*, or ***both*** using asterisks"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__Bold__, _italic_, or ___both___ using underscores"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "~~Strikethrough~~ text"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Pipe tables  \n",
    "\n",
    "| Right | Left | Default | Center |\n",
    "|------:|:-----|---------|:------:|\n",
    "|   12  |  12  |    12   |    12  |\n",
    "|  123  |  123 |   123   |   123  |\n",
    "|    1  |    1 |     1   |     1  |"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "List using asterisks\n",
    "\n",
    "* one\n",
    "* two\n",
    "    * two-one\n",
    "    * two-two\n",
    "        * two-two-one\n",
    "        * two-two-two\n",
    "            * two-two-two-one\n",
    "            * two-two-two-two\n",
    "                * two-two-two-two-one\n",
    "                * two-two-two-two-two\n",
    "                    * etc\n",
    "* three"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "List using dashes\n",
    "\n",
    "- one\n",
    "- two\n",
    "    - two-one\n",
    "    - two-two\n",
    "        - two-two-one\n",
    "        - two-two-two\n",
    "            - two-two-two-one\n",
    "            - two-two-two-two\n",
    "                - two-two-two-two-one\n",
    "                - two-two-two-two-two\n",
    "                    - etc\n",
    "- three"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Ordered list\n",
    "\n",
    "1. one\n",
    "2. two\n",
    "    1. two-one\n",
    "    2. two-two\n",
    "        1. two-two-one\n",
    "        2. two-two-two\n",
    "            1. two-two-two-one\n",
    "            2. two-two-two-two\n",
    "                1. two-two-two-two-one\n",
    "                2. two-two-two-two-two\n",
    "                    1. etc\n",
    "3. three"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Mixed list\n",
    "\n",
    "1. one\n",
    "2. two\n",
    "    - two-one\n",
    "    - two-two\n",
    "        1. two-two-one\n",
    "        2. two-two-two\n",
    "            * two-two-two-one\n",
    "            * two-two-two-two\n",
    "                1. two-two-two-two-one\n",
    "                2. two-two-two-two-two\n",
    "                    1. etc\n",
    "3. three"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Automatic hyperlink http://google.com/"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Explicit hyperlink [Google](http://google.com/)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Inline `verbatim`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Verbatim block\n",
    "\n",
    "```\n",
    "This is verbatim\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "GFM code block\n",
    "\n",
    "Python\n",
    "```python\n",
    "print('hello world')\n",
    "```\n",
    "\n",
    "Javascript\n",
    "```javascript\n",
    "console.log('hello world');\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Carroted quote\n",
    "\n",
    "> I heard Bob say\n",
    ">> Hello world!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Local images\n",
    "![Alternative text](./../images/IPython_logo.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Web images (not supported for non-html templates)\n",
    "![Alternative text](http://ipython.org/_static/IPy_header.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Embeded, scrubbed HMTL (not supported for non-html templates)\n",
    "\n",
    "<div style=\"background: blue; color: white; padding: 1em;\">This should be blue.</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Inline latex math $m = \\frac{F}{a}$"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Latex math block $$m = \\frac{F}{a}$$"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Stdout"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Stdout"
     ]
    }
   ],
   "source": [
    "# Python code block\n",
    "import sys\n",
    "sys.stdout.write('Stdout')\n",
    "sys.stdout.flush()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Exception"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "ename": "Exception",
     "evalue": "Error",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mException\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-2-24314b2fb2fb>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mException\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'Error'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mException\u001b[0m: Error"
     ]
    }
   ],
   "source": [
    "raise Exception('Error')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Stderr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Stderr"
     ]
    }
   ],
   "source": [
    "sys.stderr.write('Stderr')\n",
    "sys.stderr.flush()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Python repr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Repr'"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a = \"Repr\"\n",
    "a"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Language magic"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "console.log('Hello JS console.');"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%javascript\n",
    "console.log('Hello JS console.');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Rich output"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from IPython.display import display, HTML, Image, Latex, SVG"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"background: blue; color: white; padding: 1em;\">This should be blue.</div>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(HTML('<div style=\"background: blue; color: white; padding: 1em;\">This should be blue.</div>'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Embeded images"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Remote"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
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      ],
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(Image(data='http://ipython.org/_static/IPy_header.png'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Local"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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       "    <path d=\"M 110.46717 132.28575 A 48.948284 8.6066771 0 1 1  12.570599,132.28575 A 48.948284 8.6066771 0 1 1  110.46717 132.28575 z\" id=\"path1894\" style=\"opacity:0.44382019;fill:url(#radialGradient1480);fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:20;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1\" transform=\"matrix(0.73406,0,0,0.809524,16.24958,27.00935)\"/>\n",
       "  </g>\n",
       "</svg>"
      ],
      "text/plain": [
       "<IPython.core.display.SVG object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(SVG(data='./images/python_logo.svg'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Multiple repr support"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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       "  </g>\n",
       "</svg>"
      ],
      "text/html": [
       "<div style='background: blue; color: white;'>This is blue. HTML</div>"
      ],
      "text/latex": [
       "$L*\\frac{at}{ex}=Math$"
      ],
      "text/plain": [
       "Text"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "class ManyRepr(object):\n",
    "    def _repr_latex_(self):\n",
    "        return \"$L*\\\\frac{at}{ex}=Math$\"\n",
    "    def _repr_html_(self):\n",
    "        return \"<div style='background: blue; color: white;'>This is blue. HTML</div>\"\n",
    "    def _repr_svg_(self):\n",
    "        return SVG(data='./images/python_logo.svg').data\n",
    "    def _repr_png_(self):\n",
    "        return Image(data='./images/IPython_logo.png').data\n",
    "    def __repr__(self):\n",
    "        return 'Text'\n",
    "ManyRepr()"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "This is a raw cell which will not be altered by nbconvert.\n",
    "<div style='background: red; color: white;'>This is red. HTML</div>\n",
    "$L*\\\\frac{at}{ex}=Math$\n",
    "Here is some **bold** markdown."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Link to another notebook [here](./basic/notebook1.ipynb)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Link to an image [here](./images/IPython_logo.png)."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "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": "2.7.8"
  }
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 "nbformat": 4,
 "nbformat_minor": 0
}