{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Week 1\n",
    "\n",
    "## Overview\n",
    "\n",
    "As explained in the [*Before week 1* notebook](http://nbviewer.jupyter.org/github/suneman/socialgraphs2016/blob/master/lectures/How_To_Take_This_Class.ipynb), each week of this class is an IPython notebook like this one. **_In order to follow the class, you simply start reading from the top_**, following the instructions.\n",
    "\n",
    "**Hint**: And you can ask me - or any of the friendly Teaching Assistants - for help at any point if you get stuck!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "## Today\n",
    "\n",
    "This first lecture will go over a few different topics to get you started \n",
    "\n",
    "* First, I'll help you get your system in shape for all the Python programming we'll do later on.\n",
    "* Second, we'll make sure that you remember how to code in Python.\n",
    "* Third, we talk a bit about APIs and how they work.\n",
    "* Fourth, and finally, we'll be getting our hands dirty with a bit of coding and Twitter's API."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Part 1: Installing Python\n",
    "\n",
    "Now it's time to install Python. The most important thing to know before you begin is that we use python 2.7, **so DO NOT install Python 3\\.** \n",
    "\n",
    "Every year, someone doesn't read carefully enough, so let me say it again: **DO NOT install Python 3\\.**\n",
    "\n",
    "In spite of the warnings above (and this is `TRUE`) someone still always installs Python 3. Don't do it. I'm still waiting for the right time to transition - I'm thinking that'll be next year.\n",
    "\n",
    "* We recommend you use the _Anaconda distribution_ of Python. You can download it [**here**](https://www.continuum.io/downloads).\n",
    "* You start up the notebook system by typing \"`jupyter notebook`\" and your terminal, and the system should be ready to use in your favorite browser. \n",
    "* Be sure to check the keyboards shortcuts under the heading of \"Help\" where you will find for instance shortcut to code-completion (Tab) and tooltip with documentation (Shift-Tab) which will save you a ton of time.  \n",
    "\n",
    "Part 3 will teach you how to use the IPython Notebook. Note that if you want to use another Python distribution, that's fine, but we cannot promise to help you with anything other than Anaconda. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Part 2: Simple Python exercises\n",
    "\n",
    "> **_Video lecture_**: You get started on this part by watching the \"IPython Notebook\" video below. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
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fPLI4nB82LbjVGtlzKvue8X5hY/wVyXTxbFDkNiDhBvQHo1udTqDWvpasbO45PJ9cvK7w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\nEBERAREQEREBERAREQEREBERAREQEREBERAREQEREBERB//Z\n",
      "text/html": [
       "\n",
       "        <iframe\n",
       "            width=\"600\"\n",
       "            height=\"337.5\"\n",
       "            src=\"https://www.youtube.com/embed/yC754EgHpck\"\n",
       "            frameborder=\"0\"\n",
       "            allowfullscreen\n",
       "        ></iframe>\n",
       "        "
      ],
      "text/plain": [
       "<IPython.lib.display.YouTubeVideo at 0x1030a81d0>"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import YouTubeVideo\n",
    "YouTubeVideo(\"yC754EgHpck\",width=600, height=337.5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Oh, and I forgot a few important things when I made this video, so here are some additional tips & tricks on IPython."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/jpeg": 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5l/hjSYzrbZugHQhtMvyXGZdfRcqiul9+53uXOzt7zebebnFEdBDNpNoGWFYu0E0qdZWy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\nl36tkRG7B4+I+uLpmXjVahh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      "text/html": [
       "\n",
       "        <iframe\n",
       "            width=\"600\"\n",
       "            height=\"337.5\"\n",
       "            src=\"https://www.youtube.com/embed/NDZyU_NlX0I\"\n",
       "            frameborder=\"0\"\n",
       "            allowfullscreen\n",
       "        ></iframe>\n",
       "        "
      ],
      "text/plain": [
       "<IPython.lib.display.YouTubeVideo at 0x10352b5d0>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "YouTubeVideo(\"NDZyU_NlX0I\",width=600, height=337.5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> _Exercises_\n",
    "> \n",
    "> * Download the IPython file that I've prepared for you and save it somewhere where you can find it again. The link is [**here**](https://raw.githubusercontent.com/suneman/socialgraphs2017/master/files/Training_notebook.ipynb). (**Hint**: Be careful not to save this in _.txt_ format - make sure the extension is _.ipynb_.)\n",
    "> * Work through exercise 1-9 in the file, solving the simple Python exercises in there. Also use this as a chance to become familiar with how the IPython notebook works. (And a little bit of `json`). "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### STOP: Super important notice\n",
    "\n",
    "Now that you've completed working through the IPython notebook, it's time for the moment of truth! If you had great difficulty with the Python coding itself, you're going to be in trouble. Everything we do going forward in this class will depend on you being comfortable with Python. There is simply **no way** that you will be able to do well, if you're also struggling with Python on top of everything else you'll be learning.\n",
    "\n",
    "**So if you're not 100% comfortable with Python, I recommend you stop right now, and follow [Code Academy's excellent short course on Python programming](https://www.codecademy.com/en/tracks/python) before proceeding**. This might seem tough, but the ability to program is a prerequisite for this class, and if you know how to program, you should be able to handle the Python questions above.`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Part 3: What is an API?\n",
    "\n",
    "Ok, so you're now on top of Python, so let's get started with a quick overview of APIs. \n",
    "> \n",
    "> **_Video lecture_**: Click on the image below to watch it on YouTube.\n",
    "> "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/jpeg": 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iNBUUd7/bWNk8hJJl1t1uLwONckri2muEPnXtaDVsbyHlJt0nXjfiRd8RdzJH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\nv0CQXSlzXqI81+gSC6UuXi9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    "It's time for you to get to work. Take a look at the two texts below - just to get a sense of a more technical description of how APIs work\n",
    "\n",
    "> _Reading_ (just skim): [Wikipedia page on APIs](https://en.wikipedia.org/wiki/Web_API)  \n",
    "> _Reading_ (just skim): [Wikipedia page on REST for web services](https://en.wikipedia.org/wiki/Representational_state_transfer#Applied_to_web_services)\n",
    "> "
   ]
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    "## Part 4: The Twitter API\n",
    "\n",
    "In this final part, we're going to use Python to access Twitter's API. This is the main part or the work today! \n",
    "\n",
    "> _Reading_: Read through chapter 1 of _Mining the Social Web, 2nd Edition_ (MTSW2e) by Matthew A. Russell. We will focus on content up to page 29, so you can skim the rest.\n",
    "> The first chapter of the book is available for free. You can get it [**here**](https://github.com/ptwobrussell/Mining-the-Social-Web-2nd-Edition).\n",
    "> \n",
    "\n",
    "In MTSW2e, Russell suggests that you install a virtual machine and run Python from there. _That's not necessary_. \n",
    "\n",
    "But you will have to install the [`twitter` Python library](https://github.com/sixohsix/twitter). The `twitter` Python library makes it easier to interact with the Twitter API by creating wrapper around the API urls, as well as loading the json for you. \n",
    "\n",
    "There are a number of Twitter libraries for Python, and it's important that you get the right one (they all do more or less the same thing, but they have different syntax). \n",
    "\n",
    "In order to install the right library, use the Python installer [`pip`](https://en.wikipedia.org/wiki/Pip_(package_manager)). And make sure you use _Anaconda's_ `pip`, which is in the Anaconda base folder (your system may already have `pip` installed as part of another Python distro). On my system (a mac), I installed the `twitter` library by typing\n",
    "\n",
    "    >> ~/anaconda/bin/pip install twitter\n",
    "\n",
    "at the terminal. "
   ]
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    "> _Exercises_  \n",
    "> Solve the exercise below in a new `notebook`. So when I write \"Work through example ...\", I mean: do that in your `notebook`. Make sure that you add lots of comments in and around your code. Don't forget that these exercises will form the foundation for _Assignment 1_ when that time comes. So it is to your own advantage to write everything up nicely while it's fresh in your memory. \n",
    "> \n",
    "> _Questions about the text_\n",
    "> \n",
    "> * According to Chapter 1, what are some things that we humans might want technology to help us get?\n",
    "> * What's the maximum number of characters in a Tweet?\n",
    "> * How many monthly active users does the book say that we can find on Twitter? \n",
    "> * What is the key difference between connections on Twitter and connections on Facebook?\n",
    "> * Take a look at the tweet meta-data on page 22-25\\. Which fields do you think are most interesting? \n",
    "> \n",
    "> _Coding your way through Chapter 1 of MTSW2e_\n",
    "> \n",
    "> * If you don't have one, start a Twitter account. (And follow @suneman).\n",
    "> * If you're having trouble registering as a developer, you can follow [**this**](https://support.twitter.com/articles/110250#long-code) guide. You might want to use Skype to do this, as international texting can be costly. *If you don't get a text message (**SMS only works for some Danish numbers**), ask Twitter to call with the security code*\n",
    "> * Work through example 1.1 in the book. _Note_: Some of the code in the book is outdated due to changes to the Twitter API (1.0 -\\> 1.1). Updated code can be found [**here**](http://nbviewer.ipython.org/github/ptwobrussell/Mining-the-Social-Web/blob/master/ipython_notebooks/Chapter1.ipynb). Read the text in the book, but use the code from the link as you work though the next exercises.\n",
    "> * Work through example 1.2, and also retrieve the trends for Denmark. What are they? _Hint_: I found the Denmark WOE using [this webpage](http://woeid.rosselliot.co.nz/).\n",
    "> * Work through example 1.3\\. _Bonus_: Can you think of other ways to plot nicely formatted `json` structures? \n",
    "> * Work through example 1.4\\. No need to calculate intersections for the Denmark trends. I'm pretty sure the overlap will be zero.\n",
    "> * Work through example 1.5, but choose your own term to query for. Make sure that it's a term that gets lots of hits.\n",
    "> * Extract the actual tweet text, and retweet count for all of the tweets you downloaded in example 1.5\\. Which tweet is the most popular one?\n",
    "> \n",
    "\n",
    "---\n",
    "\n",
    "And you're done. Don't forget to congratulate yourself for getting all the way through the exercises!"
   ]
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