isaacs

echo 'export PATH=$HOME/local/bin:$PATH' >> ~/.bashrc
. ~/.bashrc
mkdir ~/local
mkdir ~/node-latest-install
cd ~/node-latest-install
curl http://nodejs.org/dist/node-latest.tar.gz | tar xz --strip-components=1
./configure --prefix=~/local
make install # ok, fine, this step probably takes more than 30 seconds...
curl https://www.npmjs.org/install.sh | sh

rafarubert

  def date=(date)
    write_attribute(:date, date.gsub(/(\d{4})\/(\d{2})\/(\d{2})/, "#{$3}/#{$2}/#{$1}"))
  end

mklabs

bootstrap-tooltip.js
bootstrap-popover.js
bootstrap-alert.js
bootstrap-button.js
bootstrap-carousel.js
bootstrap-collapse.js
bootstrap-dropdown.js
bootstrap-modal.js
bootstrap-scrollspy.js
bootstrap-tab.js

evanbeard

class Api::RegistrationsController < Api::BaseController
  
  respond_to :json
  def create

    user = User.new(params[:user])
    if user.save
      render :json=> user.as_json(:auth_token=>user.authentication_token, :email=>user.email), :status=>201
      return
    else

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

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

bf4

  gem 'lograge' # more readable logs
    gem 'logstash-event' # for logstash json format
  gem 'mono_logger' # threadsafe logging

erikhenrique

Validação para cartão de crédito.

Bin e padrões para validação de cartão de crédito.

Bandeira	Começa com	Máximo de número	Máximo de número cvc
Visa	4	13,16	3
Mastercard	5	16	3

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.

---

jrochkind

Thread Pools

A Thread Pool is an abstraction that you can give a unit of work to, and the work will be executed by one of possibly several threads in the pool. One motivation for using thread pools is the overhead of creating and destroying threads. Creating a pool of reusable worker threads then repeatedly re-using threads from the pool can have huge performace benefits for a long-running application like a service.

concurrent-ruby also offers some higher level abstractions than thread pools. For many problems, you will be better served by using one of these -- if you are thinking of using a thread pool, we especially recommend you look at and understand Futures before deciding to use thread pools directly instead. Futures are implemented using thread pools, but offer a higher level abstraction.

But there are some problems for which directly using a thread pool is an appropriate solution. Or, you may wish to make your own thread pool to run Futures on, to be separate or have different characterist