bradediger

charliepark

  def convert_to_brightness_value(background_hex_color)
    (background_hex_color.scan(/../).map {|color| color.hex}).sum
  end

  def contrasting_text_color(background_hex_color)
    convert_to_brightness_value(background_hex_color) > 382.5 ? '#000' : '#fff'
  end

mislav

Pagination 101

Article by Faruk Ateş, [originally on KuraFire.net][original] which is currently down

One of the most commonly overlooked and under-refined elements of a website is its pagination controls. In many cases, these are treated as an afterthought. I rarely come across a website that has decent pagination, and it always makes me wonder why so few manage to get it right. After all, I'd say that pagination is pretty easy to get right. Alas, that doesn't seem the case, so after encouragement from Chris Messina on Flickr I decided to write my Pagination 101, hopefully it'll give you some clues as to what makes good pagination.

Before going into analyzing good and bad pagination, I want to explain just what I consider to be pagination: Pagination is any kind of control system that lets the user browse through pages of search results, archives, or any other kind of continued content. Search results are the o

jacqui

# Optimized for writes, sort on read

# LVC
redis.hset("bonds|1", "bid_price", 96.01)
redis.hset("bonds|1", "ask_price", 97.53)
redis.hset("bonds|2", "bid_price", 95.50)
redis.hset("bonds|2", "ask_price", 98.25)
redis.sadd("bond_ids", 1)
redis.sadd("bond_ids", 2)

jcasimir

Friendly URLs

By default, Rails applications build URLs based on the primary key -- the id column from the database. Imagine we have a Person model and associated controller. We have a person record for Bob Martin that has id number 6. The URL for his show page would be:

/people/6

But, for aesthetic or SEO purposes, we want Bob's name in the URL. The last segment, the 6 here, is called the "slug". Let's look at a few ways to implement better slugs.

barmstrong

class ZendeskTicketsJob
  extend Resque::Plugins::ExponentialBackoff
  @queue = :low
  FIELDS = ['zendesk_id', 'requester_id', 'assignee_id', 'group', 'subject', 'tags', 'status', 'priority', 'via', 'ticket_type', 'created_at', 'assigned_at', 'solved_at', 'resolution_time', 'satisfaction', 'group_stations', 'assignee_stations', 'reopens', 'replies', 'first_reply_time_in_minutes', 'first_reply_time_in_minutes_within_business_hours', 'first_resolution_time_in_minutes', 'first_resolution_time_in_minutes_within_business_hours', 'full_resolution_time_in_minutes', 'full_resolution_time_in_minutes_within_business_hours', 'agent_wait_time_in_minutes', 'agent_wait_time_in_minutes_within_business_hours', 'requester_wait_time_in_minutes', 'requester_wait_time_in_minutes_within_business_hours', 'reservation_code', 'requires_manual_closing']

  def self.perform(url)
    `rm /tmp/zendesk_tickets*`
    `wget #{url} -O /tmp/zendesk_tickets.csv.zip`
    `unzip -p /tmp/zendesk_tickets.csv.zip > /tmp/zendesk_tickets.csv`
    

ktheory

#!/usr/bin/env ruby

require 'rubygems'
require 'nokogiri'
require 'net/http'

# check_aws_status.rb
# A nagios plugin for fetching RSS feeds from http://status.aws.amazon.com.
# Source: https://gist.github.com/1604786
# Written by Aaron Suggs: https://github.com/ktheory

erikh

#!/usr/bin/env sh

##
# This is script with usefull tips taken from:
#   https://github.com/mathiasbynens/dotfiles/blob/master/.osx
#
# install it:
#   curl -sL https://raw.github.com/gist/2108403/hack.sh | sh
#

jboner

Latency Comparison Numbers (~2012)
----------------------------------
L1 cache reference                           0.5 ns
Branch mispredict                            5   ns
L2 cache reference                           7   ns                      14x L1 cache
Mutex lock/unlock                           25   ns
Main memory reference                      100   ns                      20x L2 cache, 200x L1 cache
Compress 1K bytes with Zippy             3,000   ns        3 us
Send 1K bytes over 1 Gbps network       10,000   ns       10 us
Read 4K randomly from SSD*             150,000   ns      150 us          ~1GB/sec SSD

mfenniak

CREATE OR REPLACE FUNCTION hstore_merge(left HSTORE, right HSTORE) RETURNS HSTORE AS $$
    SELECT $1 || $2;
$$ LANGUAGE SQL;

CREATE AGGREGATE hstore_merge (HSTORE) (
    SFUNC = hstore_merge,
    STYPE = HSTORE,
    INITCOND = ''
);