chsh

class AppDelegate
  def application(application, didFinishLaunchingWithOptions:launchOptions)
    alert = UIAlertView.new
    alert.message = t('start')
    alert.show
    true
  end

  def t(key)
    NSBundle.mainBundle.localizedStringForKey(key, value:nil, table:nil)

ferd

%%% Run with 'escript app_deps.erl'
%%% Change the path in filelib:wildcard/1 as required to capture all
%%% your dependencies.
%%%
%%% Rectangular nodes will represent library apps (no processes involved)
%%% and the circular nodes will represent regular apps. An arrow going from
%%% 'A -> B' means 'A depends on B'.
%%%
%%% This script depends on graphviz being present on the system.
-module(app_deps).

Latz

<?php
/**
 * Plugin Name: Disable XMLRPC
 * Version:     0.1
 * Plugin URI:  http://wpengineer.com/?p=2484
 * Description: Disable XMLRPC server for WP >= v3.5
 * Author:      Lutz Schröer
 * Author URI:  http://elektroelch.net/
 */

benizi

#!/bin/sh
# Print four lines showing blocks of colors: 0-7 | 0-7bold | 8-15 | 8-15bold
perl -CADS -lwe '
my $block = shift || (chr(0x2588) x 3);
for (["", 0], ["1;", 0], ["", 8], ["1;", 8]) {
  my ($bold, $offset) = @$_;
  my @range = map $offset + $_, 0..7;
  printf "%s %-6s ", $bold ? "bold" : "norm", "$range[0]-$range[-1]";
  print map("\e[${bold}38;5;${_}m$block", @range), "\e[0m"
}

willurd

Each of these commands will run an ad hoc http static server in your current (or specified) directory, available at http://localhost:8000. Use this power wisely.

Discussion on reddit.

Python 2.x

$ python -m SimpleHTTPServer 8000

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

staltz

The introduction to Reactive Programming you've been missing

(by @andrestaltz)

---

This tutorial as a series of videos

If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.

---

acolyer

Internet Scale Services Checklist

A checklist for designing and developing internet scale services, inspired by James Hamilton's 2007 paper "On Desgining and Deploying Internet-Scale Services."

• http://mvdirona.com/jrh/talksandpapers/jamesrh_lisa.pdf

Basic tenets

• Does the design expect failures to happen regularly and handle them gracefully?
• Have we kept things as simple as possible?

EvanLovely

/System/Library/Frameworks/CoreServices.framework/Versions/A/Frameworks/LaunchServices.framework/Versions/A/Support/lsregister -dump | grep -B6 bindings:.*:

sim642

#EXTM3U

#EXTINF:-1,Digitally Imported - Ambient
http://pub1.diforfree.org:8000/di_ambient_hi

#EXTINF:-1,Digitally Imported - Big Room House
http://pub1.diforfree.org:8000/di_bigroomhouse_hi

#EXTINF:-1,Digitally Imported - Breaks
http://pub1.diforfree.org:8000/di_breaks_hi