codesnik

module AROpts

  module Helpers
    def GT(val); AROpts::GT.new(val); end
    def LT(val); AROpts::LT.new(val); end
    def GTE(val); AROpts::GTE.new(val); end
    def LTE(val); AROpts::LTE.new(val); end
  end

  GenericOp = Struct.new(:expression)

SamSaffron

# speed up pluck

class ActiveRecord::Relation

  class RailsDateTimeDecoder < PG::SimpleDecoder
    def decode(string, tuple=nil, field=nil)
      if Rails.version >= "4.2.0"
        @caster ||= ActiveRecord::Type::DateTime.new
        @caster.type_cast_from_database(string)
      else

robmiller

#!/usr/bin/env ruby

def run
  ARGF.each_slice($options[:columns]) do |values|
    puts values.map(&:chomp).join($options[:separator])
  end
end

require "optparse"

mperham

I want to build a system which uses rules. These rules will change hourly (i.e. "this rule is effective from 2pm to 6pm"). The rules must support arbitrarily complex logic on just 2-3 pre-defined variables and result in a boolean:

item.a > 10 && item.b == 0 || item.category == FOOTWEAR

These rules will be executed hundreds of times per second so I can't afford the overhead of plain old eval. I want to reload the current effective ruleset from the database hourly, precompile each rule's logic string and execute it via the quickest method possible. It might look something like this:

class Rule

tsiege

ANNOUNCEMENT

I have moved this over to the Tech Interview Cheat Sheet Repo and has been expanded and even has code challenges you can run and practice against!






\

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

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"

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

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.

---

johnl

#!/bin/bash
#
# Copyright 2013 John Leach <john@johnleach.co.uk>
#
# 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*