notebook play

notebook play

{
 "metadata": {
  "name": "notebook play"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": "Welcome to IPython Notebook\n===\n\n### It can do cool markdown stuff\n*like this*\n> or this quote\n - [Hassan](http://www.github.com/hassanshamim)\n"
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "\" \".join(['and', 'of', 'course', 'python!'])",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 25,
       "text": "'and of course python!'"
      }
     ],
     "prompt_number": 25
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "from pygments import highlight\nfrom pygments.lexers import PythonLexer\nfrom pygments.formatters import HtmlFormatter\n\ncode = \"print And it's packages\"\nhighlight(code, PythonLexer(), HtmlFormatter())",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 28,
       "text": "u'<div class=\"highlight\"><pre><span class=\"k\">print</span> <span class=\"n\">And</span> <span class=\"n\">it</span><span class=\"s\">&#39;s packages</span>\\n</pre></div>\\n'"
      }
     ],
     "prompt_number": 28
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "ls",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": "\u001b[34mApplications\u001b[m\u001b[m/        \u001b[34mDocuments\u001b[m\u001b[m/           \u001b[34mEnvs\u001b[m\u001b[m/                \u001b[34mMusic\u001b[m\u001b[m/               \u001b[34mPycharmProjects\u001b[m\u001b[m/     \u001b[34mchef-repo\u001b[m\u001b[m/           notes_from_pytenn\r\n\u001b[34mBooks\u001b[m\u001b[m/               \u001b[34mDownloads\u001b[m\u001b[m/           \u001b[34mLibrary\u001b[m\u001b[m/             \u001b[34mPictures\u001b[m\u001b[m/            \u001b[34mSync\u001b[m\u001b[m/                \u001b[34mlandmark\u001b[m\u001b[m/\r\n\u001b[34mDesktop\u001b[m\u001b[m/             \u001b[34mDropbox\u001b[m\u001b[m/             \u001b[34mMovies\u001b[m\u001b[m/              \u001b[34mPublic\u001b[m\u001b[m/              \u001b[34mVirtualBox VMs\u001b[m\u001b[m/      notebook play.ipynb\r\n"
      }
     ],
     "prompt_number": 29
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "python --version",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "ename": "NameError",
       "evalue": "name 'python' is not defined",
       "output_type": "pyerr",
       "traceback": [
        "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
        "\u001b[0;32m<ipython-input-30-50e2c9d9c6fd>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mpython\u001b[0m \u001b[0;34m-\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0mversion\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
        "\u001b[0;31mNameError\u001b[0m: name 'python' is not defined"
       ]
      }
     ],
     "prompt_number": 30
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "!python --version",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": "Python 2.7.6\r\n"
      }
     ],
     "prompt_number": 31
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "!ps aux | grep notebook",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": "avendesora      14294   3.0  0.0  2433364    912 s002  Ss+   4:47PM   0:00.01 /bin/sh -c ps aux | grep \u001b[1;32m\u001b[Knotebook\u001b[m\u001b[K\r\navendesora      14228   1.7  0.3  2493380  25452 s000  S+    4:19PM   0:00.96 /Users/avendesora/.virtualenvs/\u001b[1;32m\u001b[Knotebook\u001b[m\u001b[K-play/bin/python -c from IPython.kernel.zmq.kernelapp import main; main() -f /Users/avendesora/.ipython/profile_default/security/kernel-37049393-e47c-4867-a6ed-0c68c8c8be3f.json --IPKernelApp.parent_appname='ipython-\u001b[1;32m\u001b[Knotebook\u001b[m\u001b[K' --profile-dir /Users/avendesora/.ipython/profile_default --parent=1\r\navendesora      14219   0.6  0.3  2485940  28124 s000  S+    4:19PM   0:01.15 /Users/avendesora/.virtualenvs/\u001b[1;32m\u001b[Knotebook\u001b[m\u001b[K-play/bin/python /Users/avendesora/.virtualenvs/\u001b[1;32m\u001b[Knotebook\u001b[m\u001b[K-play/bin/ipython \u001b[1;32m\u001b[Knotebook\u001b[m\u001b[K\r\navendesora      14296   0.0  0.0  2442000    644 s002  S+    4:47PM   0:00.00 grep \u001b[1;32m\u001b[Knotebook\u001b[m\u001b[K\r\n"
      }
     ],
     "prompt_number": 36
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "cat ./notes_from_pytenn",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": "BDaily - Systematic bias\r\n - from book \"Thinking fast and slow\" - kahneman?\r\n - \r\n"
      }
     ],
     "prompt_number": 55
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "",
     "language": "python",
     "metadata": {},
     "outputs": []
    }
   ],
   "metadata": {}
  }
 ]
}