smithclay

variable "aws_region" {
  description = "EC2 Region for the VPC"
  default     = "us-west-2"
}

variable "aws_availability_zones" {
  default     = "us-west-2a,us-west-2b,us-west-2c"
  description = "List of availability zones, use AWS CLI to find your "
}

ajhsu

// API End-Point
http://www.one-tab.com/api/createPage

// POST Payload
{
  "key": "483e6ba2-08d6-4cb4-b167-550856f4d7c0",
  "tabGroups": [{
    "id": "aek6X7rnpxWCtUjcfcKTtw",
 "tabsMeta": [{

jmvrbanac

#!/bin/bash

sudo apt-get install git python-pip make build-essential libssl-dev zlib1g-dev libbz2-dev libreadline-dev libsqlite3-dev curl
sudo pip install virtualenvwrapper

git clone https://github.com/yyuu/pyenv.git ~/.pyenv
git clone https://github.com/yyuu/pyenv-virtualenvwrapper.git ~/.pyenv/plugins/pyenv-virtualenvwrapper

echo 'export PYENV_ROOT="$HOME/.pyenv"' >> ~/.bashrc
echo 'export PATH="$PYENV_ROOT/bin:$PATH"' >> ~/.bashrc

ctalkington

source :rubygems
gem "puma"
gem "sinatra"

mhagerty

# Author: Mike Hagerty,  11/28/2012

# The purpose of this script is to pull data from the Yahoo Sports API.  I tried to document the steps as thoroughly as possible, as I had a 
# tough time navigating this process

# Yahoo Sports requires Oauth authentication for personal team-related data.  This requirement complicates the automation of pulling data, as Oauth in general requires user interaction to complete the authentication process.
# Mechanize is used to automate the user interaction steps required to authenticated via Oauth.  
# This script also has example code for storing the data in a mongodb at the end

#!/usr/bin/ruby

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

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

tenderlove

require 'rubygems'
require 'nokogiri'

class MyFilter
  def ends_with set, ends
    set.map { |x| x.to_s }.join.end_with? ends
  end
end

doc = Nokogiri.XML(DATA)