debasishg

General Background and Overview

1. Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
2. Models and Issues in Data Stream Systems
3. Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
4. Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
5. [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep=rep1&t

tlrobinson

#!/usr/bin/env bash

set -u
set -e

export GIT_WORK_TREE="/var/www/example.com"
export NODE_VERSION="0.10"

echo "--> Checking out..."
git checkout -f

Clancey

using System;
using MonoTouch.UIKit;
using MonoTouch.CoreAnimation;

  public class BrightlyBlurredUIView: UIView
	{
		CALayer blurLayer,accentLayer;
		UIView accentView;
		UIToolbar toolbar;
		public BrightlyBlurredUIView()

cerebrl

tl;dr

1. Don't run as root.
2. For sessions, set httpOnly (and secure to true if running over SSL) when setting cookies.
3. Use the Helmet for secure headers: https://github.com/evilpacket/helmet
4. Enable csrf for preventing Cross-Site Request Forgery: http://expressjs.com/api.html#csrf
5. Don't use the deprecated bodyParser() and only use multipart explicitly. To avoid multiparts vulnerability to 'temp file' bloat, use the defer property and pipe() the multipart upload stream to the intended destination.

benpickles

#!/usr/bin/env ruby

dry_run = ARGV.delete('--dry-run')
force = ARGV.delete('--force')

if ARGV.empty?
  puts <<-USAGE
  minify, swiftly concat and minify JavaScript files from the command line

  Pass a single argument to create a .min.js version: