entaroadun

Movies Recommendation:

• MovieLens - Movie Recommendation Data Sets http://www.grouplens.org/node/73
• Yahoo! - Movie, Music, and Images Ratings Data Sets http://webscope.sandbox.yahoo.com/catalog.php?datatype=r
• Jester - Movie Ratings Data Sets (Collaborative Filtering Dataset) http://www.ieor.berkeley.edu/~goldberg/jester-data/
• Cornell University - Movie-review data for use in sentiment-analysis experiments http://www.cs.cornell.edu/people/pabo/movie-review-data/

Music Recommendation:

• Last.fm - Music Recommendation Data Sets http://www.dtic.upf.edu/~ocelma/MusicRecommendationDataset/index.html

MicahElliott

Setting up and installing rbenv, ruby-build, rubies, rbenv-gemset, and bundler

This guide enables you to install (ruby-build) and use (rbenv) multiple versions of ruby, isolate project gems (gemsets and/or bundler), and automatically use appropriate combinations of rubies and gems.

TL;DR Demo

# Ensure system is in ship-shape.

aptitude install git zsh libssl-dev zlib1g-dev libreadline-dev libyaml-dev

robinsloan

require "rubygems"
require "twitter"
require "json"

# things you must configure
TWITTER_USER = "your_username"
MAX_AGE_IN_DAYS = 1 # anything older than this is deleted

# get these from dev.twitter.com
CONSUMER_KEY = "your_consumer_key"

komiya-atsushi

package twitter4j.internal.http;

public class HttpResponseHelper {
    public static HttpClientConfiguration getHttpClientConfiguration(
            HttpResponse res) {
        return res.CONF;
    }
}

amueller

# (c) 2012 Andreas Mueller amueller@ais.uni-bonn.de
# License: BSD 2-Clause
#
# See my blog for details: http://peekaboo-vision.blogspot.com

import numpy as np

import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation

jdunck

#cribbed from http://vimeo.com/52569901 (Twilio carrier call origination moderation)
# The idea is that many fan-in queues can enqueue at any rate, but
#  dequeue needs to happen in a rate-controlled manner without allowing
#  any individual input queue to starve other queues.
#  http://en.wikipedia.org/wiki/Leaky_bucket (second sense, "This version is referred to here as the leaky bucket as a queue.")
#
#  requires:
#  redis 2.6+
#  redis-py>=2.7.0
#  anyjson

dsparks

doInstall <- TRUE
toInstall <- c("wnominate", "ggplot2")
if(doInstall){install.packages(toInstall, repos = "http://cran.us.r-project.org")}
lapply(toInstall, library, character.only = TRUE)

# Load most recent senate roll call data:
rollCall <- readKH("http://amypond.sscnet.ucla.edu/rollcall/static/S112.ord")

# Run wnominate on the roll call object
nDims <- 3

biovisualize

1. Create a new public gist on https://gist.github.com/
2. Under "Clone this gist", copy the link (i.e., https://gist.github.com/4415518.git)
3. If you have the command line git tools, clone this gist to a local folder: git clone https://gist.github.com/4415518.git
4. It will add a folder with the gist id as a name (i.e., 4415518) under the current working directory. Navigate to this folder in the command line: cd 4415518 (dir 4415518 on windows)
5. Navigate to this folder in your file explorer and add an image (i.e., test.png)
6. Add it to git from the command line: git add test.png
7. Commit it to git: git commit -m "I just added a file!"
8. Push this commit to your remote gist (you will need your Github user name and password): git push
9. Go back and refresh your Gist on https://gist.github.com/ to confirm that it worked

emaadmanzoor

Expand The Edinburgh Twitter FSD Corpus

The Python scripts attached here take care of the following tedious work, and should help one quickly get started with some real work on the corpus:

• Respect the Twitter API rate limits and throttle API hits.
• Don't hit the API for already expanded tweet ID's, so you can resume tweet expansion after stopping midway.
• Parse the API response and dump it into the correct column in the sqlite3 database.
• Gracefully handle exceptions while acquiring tweets from the API.
• Wrap version 1.1 of the Twitter API.
• Start from a specified tweet ID, assuming the input file is sorted in increasing order of tweet ID.

mathiasbynens

#!/usr/bin/env node

// Verify the most famous MD5 collision example in JavaScript, using nothing but
// built-in Node modules.

var crypto = require('crypto');
var ucs2encode = require('punycode').ucs2.encode;
var assert = require('assert');

var md5 = function(string) {