grudelsud

Dear Mr Corbyn MP,

I am deeply concerned by the direction that Brexit is heading in and I know many of my friends and family feel the same.

We’ve all learned so much since the vote in 2016 about what Brexit could look like and it would be only fair, democratic and frankly sensible to allow the people to vote on whether they like the terms being offered.

I realise you are a very busy person, but I hope you can spend 8'35'' of your time to watch Stephen Rea's "Cry from the Irish border" to have an idea of what I'm referring to.

mattdesl

const glslify = require('glslify');
const path = require('path');

// This is the original source, we will copy + paste it for our own GLSL
// const vertexShader = THREE.ShaderChunk.meshphysical_vert;
// const fragmentShader = THREE.ShaderChunk.meshphysical_frag;

// Our custom shaders
const fragmentShader = glslify(path.resolve(__dirname, 'standard.frag'));
const vertexShader = glslify(path.resolve(__dirname, 'standard.vert'));

ericelliott

Essential JavaScript Links

I no longer mantain this list. There are lots of other very comprehensive JavaScript link lists out there. Please see those, instead (Google "awesome JavaScript" for a start).

mattdesl

mostly in the realm of creative coding and graphics programming

lots of these are my own :)

tooling

https://www.npmjs.org/package/wzrd (browserify dev server)
https://www.npmjs.org/package/budo (like wzrd but with incremental watching & LiveReload)
https://www.npmjs.org/package/beefy (more fully-featured dev server)

patriciogonzalezvivo

Please consider using http://lygia.xyz instead of copy/pasting this functions. It expand suport for voronoi, voronoise, fbm, noise, worley, noise, derivatives and much more, through simple file dependencies. Take a look to https://github.com/patriciogonzalezvivo/lygia/tree/main/generative

Generic 1,2,3 Noise

float rand(float n){return fract(sin(n) * 43758.5453123);}

float noise(float p){
	float fl = floor(p);
  float fc = fract(p);

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