zhengjia

=Navigating=
    visit('/projects')
    visit(post_comments_path(post))

=Clicking links and buttons=
    click_link('id-of-link')
    click_link('Link Text')
    click_button('Save')
    click('Link Text') # Click either a link or a button
    click('Button Value')

keeguon

[ 
  {name: 'Afghanistan', code: 'AF'}, 
  {name: 'Åland Islands', code: 'AX'}, 
  {name: 'Albania', code: 'AL'}, 
  {name: 'Algeria', code: 'DZ'}, 
  {name: 'American Samoa', code: 'AS'}, 
  {name: 'AndorrA', code: 'AD'}, 
  {name: 'Angola', code: 'AO'}, 
  {name: 'Anguilla', code: 'AI'}, 
  {name: 'Antarctica', code: 'AQ'}, 

hartym

stashgrep() {
  for i in `git stash list | awk -F ':' '{print $1}'`; do
    git stash show -p $i | grep -H --label="$i" "$1"
  done
}

hellerbarde

Latency numbers every programmer should know

L1 cache reference ......................... 0.5 ns
Branch mispredict ............................ 5 ns
L2 cache reference ........................... 7 ns
Mutex lock/unlock ........................... 25 ns
Main memory reference ...................... 100 ns             
Compress 1K bytes with Zippy ............. 3,000 ns  =   3 µs
Send 2K bytes over 1 Gbps network ....... 20,000 ns  =  20 µs
SSD random read ........................ 150,000 ns  = 150 µs

Read 1 MB sequentially from memory ..... 250,000 ns = 250 µs

andkerosine

$stack, $draws = [], {}

def method_missing *args
  return if args[0][/^to_/]
  $stack << args.map { |a| a or $stack.pop }
  $draws[$stack.pop(2)[0][0]] = args[1] if args[0] == :<
end

class Array
  def +@

johnl

#!/bin/bash
#
# Copyright 2013 John Leach <[email protected]>
#
# Distributed under terms of the MIT license
#
# Takes a screeshot using scrot and uploads it via scp and sticks the
# url on the clipboard as quickly as possible.
#
# For speed, it cheats and puts the url on the clipboard *before*

dypsilon

Frontend Development

Attention: the list was moved to

https://github.com/dypsilon/frontend-dev-bookmarks

This page is not maintained anymore, please update your bookmarks.

---

ragingwind

Backend Architectures

Twitter

ror, scala, jetty, erlang, thrift, mongrel, comet server, my-sql, memchached, varnish, kestrel(mq), starling, gizzard, cassandra, hadoop, vertica, munin, nagios, awstats

• Introduce Gizzard of Twitter - 트위터의 새로운 분산 관리 라이브러리 Gizzard를 소개합니다.
• The Architecture Twitter Uses to Deal with 150M Active Users, 300K QPS, a 22 MB/S Firehose, and Send Tweets in Under 5 Seconds
• Scaling Twitter: Making Twitter 10000 Percent Faster

grantslatton

import urllib2
import re
import sys
from collections import defaultdict
from random import random

"""
PLEASE DO NOT RUN THIS QUOTED CODE FOR THE SAKE OF daemonology's SERVER, IT IS 
NOT MY SERVER AND I FEEL BAD FOR ABUSING IT. JUST GET THE RESULTS OF THE 
CRAWL HERE: http://pastebin.com/raw.php?i=nqpsnTtW AND SAVE THEM TO "archive.txt"

lelandbatey

Description

This simple script will take a picture of a whiteboard and use parts of the ImageMagick library with sane defaults to clean it up tremendously.

The script is here:

#!/bin/bash
convert "$1" -morphology Convolve DoG:15,100,0 -negate -normalize -blur 0x1 -channel RBG -level 60%,91%,0.1 "$2"

Results