mccutchen

# Answering this question:
# http://stackoverflow.com/questions/3679306/

>>> import json
>>> class Foo(object):
...     def __init__(self, a, b):
...         self.a = a
...         self.b = b
...
>>> foo = Foo('a string', ['a', 'list', 'of', 'strings'])

igrigorik

require 'rubygems'
require 'rack'

class Object
  def webapp
    class << self
       define_method :call do |env|
         func, *attrs = env['PATH_INFO'].split('/').reject(&:empty?)
         [200, {}, send(func, *attrs)]
       end

smoothfriction

#OS junk files
[Tt]humbs.db
*.DS_Store

#Visual Studio files
*.[Oo]bj
*.user
*.aps
*.pch
*.vspscc

yorkxin

/* Default (OS X).sublime-keymap */
/* Key Bindings - User */
[
  { "keys": ["ctrl+shift+."], "command": "erb", "context":
    [
      {
        "key": "selector",
        "operator": "equal",
        "operand": "text.html.ruby, text.haml, source.yaml, source.css, source.scss, source.js, source.coffee"
      }

jwieringa

Step 1

Identify what the business goal is for building software.

Business goal

Increase repeat sales to existing customers by 50% over the next 12 months

Step 2

From the business goal, derive the scope of the feature(s)

glesica

# value_iteration.r
# George Lesica
# CSCI 555 - FA 2012
# Homework 5
# Solution to problem 3

INTENDED <- 0.8
LEFT <- 0.1
RIGHT <- 0.1

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