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

leric

<?php
/**
 * Dump database schema to schema config files
 * 
 */

$env = 'test';
if (empty($_SERVER['argv'][1])) {
    echo "Usage: php dump.php (production|test|dev) \n";
    exit(); 

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

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

krakjoe

Multi-Threading in PHP with pthreads

A Brief Introduction to Multi-Threading in PHP

• Foreword
• Execution
• Sharing
• Synchronization
• Pitfalls

hgfischer

Benchmarking Nginx with Go

There are a lot of ways to serve a Go HTTP application. The best choices depend on each use case. Currently nginx looks to be the standard web server for every new project even though there are other great web servers as well. However, how much is the overhead of serving a Go application behind an nginx server? Do we need some nginx features (vhosts, load balancing, cache, etc) or can you serve directly from Go? If you need nginx, what is the fastest connection mechanism? This are the kind of questions I'm intended to answer here. The purpose of this benchmark is not to tell that Go is faster or slower than nginx. That would be stupid.

So, these are the different settings we are going to compare:

• Go HTTP standalone (as the control group)
• Nginx proxy to Go HTTP
• Nginx fastcgi to Go TCP FastCGI
• Nginx fastcgi to Go Unix Socket FastCGI

daohoangson

# Functions/Macros for use when building extensions statically

# These functions also exist in CMake/HPHPIZEFunctions.cmake
# Their signatures should be kept consistent, though their behavior
# will differ slightly.

function(HHVM_LINK_LIBRARIES EXTNAME)
	list(REMOVE_AT ARGV 0)
	foreach (lib ${ARGV})
		list(APPEND HRE_LIBRARIES ${lib})

parkr

// go to https://twitter.com/your-username, and enter the following into the developer console:
for(var i = 1; i < 500; i++){ // just do it a bunch
  // Un retweet
  document.getElementsByClassName("ProfileTweet-actionButtonUndo")[i].click();
  document.getElementsByClassName("js-close")[0].click();
  // Delete tweets
  document.getElementsByClassName("js-actionDelete")[i].childNodes[1].click();
  document.getElementsByClassName("delete-action")[0].click()
}

Tosyn

#!/bin/bash

# PhalconPhp with PHP7 installation on ubuntu:16.04

sudo apt-get update 

sudo apt-get install -y php7.0-fpm \
    	php7.0-cli \
    	php7.0-curl \
    	php7.0-gd \

aymericbeaumet

Ever wanted to delete all your likes/favorites from Twitter but only found broken/expensive tools? You are in the right place.

1. Go to: https://twitter.com/{username}/likes
2. Open the console and run the following JavaScript code:

setInterval(() => {
  for (const d of document.querySelectorAll('div[data-testid="unlike"]')) {
    d.click()
 }