github_api_experiments.ipynb

{
 "metadata": {
  "name": "github_api_experiments"
 }, 
 "nbformat": 2, 
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "markdown", 
     "source": [
      "## Exploring github repository profiles using the github api.", 
      "", 
      "Authentication with the github api increases the amount of data that can be retrieved. I've set up a github user id that we can use of api calls. ", 
      "", 
      "The code that generates the data is now separate from this notebook. "
     ]
    }, 
    {
     "cell_type": "code", 
     "collapsed": true, 
     "input": [
      "# functions to fetch from github api", 
      "import github_api_data as gh"
     ], 
     "language": "python", 
     "outputs": [], 
     "prompt_number": 8
    }, 
    {
     "cell_type": "markdown", 
     "source": [
      "# The problem of programming languages", 
      "", 
      "We know roughly what programming languages are used on github [https://github.com/languages](https://github.com/languages)"
     ]
    }, 
    {
     "cell_type": "code", 
     "collapsed": false, 
     "input": [
      "# to get view of programming languages, need to query by language.", 
      "", 
      "url = 'https://github.com/search?l=Python&q=%40github&ref=searchresults&type=Repositories'", 
      "", 
      "# But a more fine grained view comes from asking each repository what languages are being used there. ", 
      "url = 'https://api.github.com/repos/vanpelt/jsawesome/languages'", 
      "r = requests.get(url)", 
      "lang = r.json", 
      "print lang"
     ], 
     "language": "python", 
     "outputs": [
      {
       "output_type": "stream", 
       "stream": "stdout", 
       "text": [
        "{u'JavaScript': 126588, u'Ruby': 9677}"
       ]
      }
     ], 
     "prompt_number": 9
    }, 
    {
     "cell_type": "markdown", 
     "source": [
      "I think the numbers here refer to lines of code. Or maybe character counts.", 
      "So, user vanpelt's [jawesome repository](https://github.com/vanpelt/jsawesome) has definitely has some javascript. ", 
      "Does it have Ruby code? ", 
      "Run in a shell: git clone https://github.com/vanpelt/jsawesome", 
      "Cd into jsawesome, and there are definitely both Ruby and Javascript files there. The charcounts on the files are about right. They add up to ~9600 characters for the Ruby files.", 
      "So this give some sense of the relative importance of the different programming languages in each repo."
     ]
    }, 
    {
     "cell_type": "code", 
     "collapsed": false, 
     "input": [
      "# get a sample of repos", 
      "df_repos = gh.get_repos(1)", 
      "", 
      "", 
      "# we are interested in the platforms and languages of repositories. How do get that from the repository data?", 
      "df_repos.columns"
     ], 
     "language": "python", 
     "outputs": [
      {
       "output_type": "stream", 
       "stream": "stdout", 
       "text": [
        "fetched  100 rows"
       ]
      }, 
      {
       "output_type": "pyout", 
       "prompt_number": 9, 
       "text": [
        "Index([archive_url, assignees_url, blobs_url, branches_url, collaborators_url, comments_url, commits_url, compare_url, contents_url, contributors_url, description, downloads_url, events_url, fork, forks_url, full_name, git_commits_url, git_refs_url, git_tags_url, hooks_url, html_url, id, issue_comment_url, issue_events_url, issues_url, keys_url, labels_url, languages_url, merges_url, milestones_url, name, notifications_url, owner, private, pulls_url, stargazers_url, statuses_url, subscribers_url, subscription_url, tags_url, teams_url, trees_url, url], dtype=object)"
       ]
      }
     ], 
     "prompt_number": 9
    }, 
    {
     "cell_type": "code", 
     "collapsed": false, 
     "input": [
      "df_lang = gh.get_programming_languages(df_repos[0:5])", 
      "    "
     ], 
     "language": "python", 
     "outputs": [
      {
       "output_type": "stream", 
       "stream": "stdout", 
       "text": [
        "fetching repository 0 from https://api.github.com/repos/mojombo/grit/languages", 
        "fetching repository 1 from https://api.github.com/repos/wycats/merb-core/languages"
       ]
      }, 
      {
       "output_type": "stream", 
       "stream": "stdout", 
       "text": [
        "", 
        "fetching repository 2 from https://api.github.com/repos/rubinius/rubinius/languages"
       ]
      }, 
      {
       "output_type": "stream", 
       "stream": "stdout", 
       "text": [
        "", 
        "fetching repository 3 from https://api.github.com/repos/mojombo/god/languages"
       ]
      }, 
      {
       "output_type": "stream", 
       "stream": "stdout", 
       "text": [
        "", 
        "fetching repository 4 from https://api.github.com/repos/vanpelt/jsawesome/languages"
       ]
      }, 
      {
       "output_type": "stream", 
       "stream": "stdout", 
       "text": []
      }
     ], 
     "prompt_number": 11
    }, 
    {
     "cell_type": "code", 
     "collapsed": false, 
     "input": [
      "import matplotlib.pyplot as plt", 
      "plt.subplots(nrows=1, ncols=2)", 
      "#plt.figure() ", 
      "", 
      "#the use of languages", 
      "df_lang.apply(lambda x: np.count_nonzero(x)).plot(kind='bar', title = 'language usage')", 
      "#how much code is written in each language", 
      "plt.figure()", 
      "df_lang.sum().plot(kind='bar',title = 'code size')"
     ], 
     "language": "python", 
     "outputs": [
      {
       "output_type": "stream", 
       "stream": "stdout", 
       "text": [
        "(96, 20)"
       ]
      }, 
      {
       "output_type": "pyout", 
       "prompt_number": 34, 
       "text": [
        "<matplotlib.axes.AxesSubplot at 0x59b2c10>"
       ]
      }, 
      {
       "output_type": "display_data", 
       "png": "iVBORw0KGgoAAAANSUhEUgAAAW8AAAFeCAYAAABKGp4cAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAElFTkSuQmCC\n"
      }, 
      {
       "output_type": "display_data", 
       "png": "iVBORw0KGgoAAAANSUhEUgAAAXAAAAFeCAYAAACcv0R5AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\npP4PEfMMm+CG5lIAAAAASUVORK5CYII=\n"
      }
     ], 
     "prompt_number": 34
    }, 
    {
     "cell_type": "markdown", 
     "source": [
      "The figures show that the amount of code written in different languages differs greatly from the number of projects that use languages.", 
      "So while Javascript is a very popular language in terms of numbers of repositories using it, it looks like much more coding is done in ", 
      "Ruby, C and C++. Obviously only a small sample (a couple of hundred repositories), but might be worth following this up.  "
     ]
    }, 
    {
     "cell_type": "markdown", 
     "source": [
      "## What can we get by looking at the forked repositories. Questions might be:", 
      "1. what do they fork from? - when a repo is a fork, calling /repos/:owner/:repo also returns \"parent\" and \"source\" objects ", 
      "which direct to the repo it was forked from.", 
      "2. what kinds of repositories are likely to be forked?", 
      "3. do forks have lives of their own, or are they mainly dead ends?", 
      "    "
     ]
    }, 
    {
     "cell_type": "code", 
     "collapsed": false, 
     "input": [
      "# interesting to look at how many repositories are forks of others", 
      "# could we build a picture of github in terms of forks?", 
      "", 
      "df_repos.fork.value_counts()", 
      "df_repos.fork.value_counts().plot(kind='bar')"
     ], 
     "language": "python", 
     "outputs": [
      {
       "output_type": "pyout", 
       "prompt_number": 45, 
       "text": [
        "<matplotlib.axes.AxesSubplot at 0x3eef050>"
       ]
      }, 
      {
       "output_type": "display_data", 
       "png": "iVBORw0KGgoAAAANSUhEUgAAAXMAAAENCAYAAAD9koUjAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n"
      }
     ], 
     "prompt_number": 45
    }, 
    {
     "cell_type": "code", 
     "collapsed": false, 
     "input": [
      "df_repos.description[df_repos.fork==True]"
     ], 
     "language": "python", 
     "outputs": [
      {
       "output_type": "pyout", 
       "prompt_number": 46, 
       "text": [
        "name", 
        "mofo                      Mofo is a fast and simple microformat parser, ...", 
        "merb-core                          Merb Core: All you need. None you don't.", 
        "yaws                                           YAWS is an erlang web server", 
        "ruby-on-rails-tmbundle    Ruby on Rails TextMate bundle [master branch i...", 
        "ruby-on-rails-tmbundle    Ruby on Rails TextMate bundle [master branch i...", 
        "simply_versioned          A simple, non-invasive, approach to versioning...", 
        "ambitious_activeldap                        Ambition adapter for ActiveLdap", 
        "ruby-on-rails-tmbundle    Ruby on Rails TextMate bundle [master branch i...", 
        "ambition                                                                   ", 
        "god                                                    Ruby process monitor", 
        "django-mptt               utilities for implementing a modified pre-orde...", 
        "rails                                                         Ruby on Rails", 
        "exception_logger                              our hacks to exception_logger", 
        "god                                                    Ruby process monitor", 
        "git-wiki                           A quick & dirty git-powered Sinatra wiki", 
        "...", 
        "facebox                                   Facebook-style lightbox, built in jQuery", 
        "gitnub                           A Gitk-like application written in RubyCocoa t...", 
        "merb-plugins                     Merb Plugins: Even more modules to hook up you...", 
        "codereviewr                                A site to make your code lean and mean.", 
        "vanhelsing                       Super streamlined memory profiler with real ti...", 
        "nu                               The Nu programming language.  A clone of the o...", 
        "attachment_fu                    Treat an ActiveRecord model as a file attachme...", 
        "attachmerb_fu                        A merb port of the attachment_fu Rails plugin", 
        "gitnub                           A Gitk-like application written in RubyCocoa t...", 
        "merb-core                                 Merb Core: All you need. None you don't.", 
        "fireeagle                                      Ruby wrapper for Yahoo!'s FireEagle", 
        "rspec-haml-scaffold-generator               A Haml Scaffolding Generator for RSpec", 
        "arc                                                   Paul Graham's Brand New Lisp", 
        "trails-oldschool                                                     Trails tracks", 
        "rspec                              Behaviour Driven Development framework for Ruby", 
        "Name: description, Length: 126"
       ]
      }
     ], 
     "prompt_number": 46
    }, 
    {
     "cell_type": "markdown", 
     "source": [
      "In terms of the metacommunity idea, I think it would be worth processing the titles and descriptions to get a catalogue of 'named entities.' ", 
      "I've started to do this with some of the stackoverflow data, using the natural language toolkit. "
     ]
    }
   ]
  }
 ]
}