{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false,
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "hello world\n",
      "0\n",
      "1\n",
      "2\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "output to stderr\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "some more stdout text\n"
     ]
    }
   ],
   "source": [
    "import sys\n",
    "print('hello world', flush=True)\n",
    "for i in range(3):\n",
    "    print(i, flush=True)\n",
    "print('output to stderr', file=sys.stderr, flush=True)\n",
    "print('some more stdout text', flush=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "# Markdown Cell\n",
    "\n",
    "$ e^{ \\pm i\\theta } = \\cos \\theta \\pm i\\sin \\theta + \\beta $\n",
    "\n",
    "*It* **really** is!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false,
    "tags": []
   },
   "outputs": [
    {
     "ename": "SyntaxError",
     "evalue": "invalid syntax (<ipython-input-2-6c5185427360>, line 1)",
     "output_type": "error",
     "traceback": [
      "\u001b[0;36m  File \u001b[0;32m\"<ipython-input-2-6c5185427360>\"\u001b[0;36m, line \u001b[0;32m1\u001b[0m\n\u001b[0;31m    this is a syntax error\u001b[0m\n\u001b[0m                   ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n"
     ]
    }
   ],
   "source": [
    "this is a syntax error"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false,
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import Image\n",
    "Image('./jupyter.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false,
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/latex": [
       "The mass-energy equivalence is described by the famous equation\n",
       " \n",
       "$$E=mc^2$$\n",
       " \n",
       "discovered in 1905 by Albert Einstein. \n",
       "In natural units ($c$ = 1), the formula expresses the identity\n",
       " \n",
       "\\begin{equation}\n",
       "E=m\n",
       "\\end{equation}"
      ],
      "text/plain": [
       "<IPython.core.display.Latex object>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import Latex\n",
    "Latex('''The mass-energy equivalence is described by the famous equation\n",
    " \n",
    "$$E=mc^2$$\n",
    " \n",
    "discovered in 1905 by Albert Einstein. \n",
    "In natural units ($c$ = 1), the formula expresses the identity\n",
    " \n",
    "\\\\begin{equation}\n",
    "E=m\n",
    "\\\\end{equation}''')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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