MicahElliott

#! /usr/bin/env python

""" Convert values between RGB hex codes and xterm-256 color codes.

Nice long listing of all 256 colors and their codes. Useful for
developing console color themes, or even script output schemes.

Resources:
* http://en.wikipedia.org/wiki/8-bit_color
* http://en.wikipedia.org/wiki/ANSI_escape_code

macintux

• https://ferd.ca/a-distributed-systems-reading-list.html
• http://the-paper-trail.org/blog/distributed-systems-theory-for-the-distributed-systems-engineer/
• https://github.com/palvaro/CMPS290S-Winter16/blob/master/readings.md
• http://muratbuffalo.blogspot.com/2015/12/my-distributed-systems-seminars-reading.html
• http://christophermeiklejohn.com/distributed/systems/2013/07/12/readings-in-distributed-systems.html
• http://michaelrbernste.in/2013/11/06/distributed-systems-archaeology-works-cited.html
• http://rxin.github.io/db-readings/
• http://research.microsoft.com/en-us/um/people/lamport/pubs/pubs.html
• http://pdos.csail.mit.edu/dsrg/papers/
• http://scalingsystems.com/2011/09/07/reading-list-for-distributed-systems/

essen

Thinking in Erlang

One day Erlang training.

Goals

This training should get you started with Erlang and understand how to design a highly available distributed system. Because there is only one day, we focus on the essential concepts and skip over many details that would be covered in the normal three days course.

creationix

var http = require('http');
var send = require('send');
var urlParse = require('url').parse;

var count = 2;
var server = http.createServer(function (req, res) {
  if (!--count) server.close(); // Only allow two connection and then exit.
  send(req, urlParse(req.url).pathname)
    .root(__dirname)
    .pipe(res);

debasishg

General Background and Overview

1. Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
2. Models and Issues in Data Stream Systems
3. Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
4. Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
5. [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep=rep1&t

XVilka

THIS GIST WAS MOVED TO TERMSTANDARD/COLORS REPOSITORY.

PLEASE ASK YOUR QUESTIONS OR ADD ANY SUGGESTIONS AS A REPOSITORY ISSUES OR PULL REQUESTS INSTEAD!

avdi

# You will need the pygments and xclip packages
# This example highlights some Bash source code
# '-O noclasses=true' tells pygments to embed colors inline in the source
# the '-t text/html' option tells xclip what "target" to specify for the selection
pygmentize -l bash -f html -O noclasses=true mysource.sh | xclip -selection clipboard -t text/html

staltz

The introduction to Reactive Programming you've been missing

(by @andrestaltz)

---

This tutorial as a series of videos

If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.

---

rob-brown

defmodule Mastermind do

  defstruct rounds: 10, choices: 6, answer: nil, guesses: []

  def start, do: game_loop %Mastermind{}

  defp game_loop(game = %Mastermind{answer: nil}) do
    game
      |> start_computer_mastermind
      |> game_loop

rob-brown

defmodule Life do

  # Defaults to B3/S23
  defstruct cells: [[]], born: [3], stays: [2, 3], width: 10, height: 10, step: 0

  def run(file) do
    file |> read_file |> loop
  end

  def loop(life) do