{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Example Python Notebook\n",
    "\n",
    "**Bold** *italics* <u>underline</u>\n",
    "\n",
    "The following cell shows how to print \"Hello, world!\"\n",
    "\n",
    "$$\n",
    "    \\sum_{x=1}^{z}h^{2}\n",
    "$$\n",
    "\n",
    "<table>\n",
    "    <tr><td>1</td></tr>\n",
    "    <tr><td>2</td></tr>\n",
    "</table>\n",
    "\n",
    "[This is the text](http://google.com)\n",
    "\n",
    "![This caption](53324_cam-l-0614-0032.rev.1432835881.jpg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello, world!\n"
     ]
    }
   ],
   "source": [
    "print(\"Hello, world!\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* one \n",
    "* two\n",
    "* three"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. One\n",
    "2. Two\n",
    "3. Three"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}