Rafael Turk rturk

Each of these commands will run an ad hoc http static server in your current (or specified) directory, available at http://localhost:8000. Use this power wisely.

Discussion on reddit.

Python 2.x

$ python -m SimpleHTTPServer 8000

Validação para cartão de crédito.

Bin e padrões para validação de cartão de crédito.

Bandeira	Começa com	Máximo de número	Máximo de número cvc
Visa	4	13,16	3
Mastercard	5	16	3

I've developed a useful feature in KeystoneJS that lets you populate a relationship from either side, while only storing the data on one side, and am looking for feedback on whether it is something that could / should be brought back into mongoose itself. (It might be possible to add as a separate package but I suspect there'd be too much rewriting of mongoose internals for that to be a good idea).

I've added this as an issue in mongoose for consideration: #1888 but am leaving this gist in place because the examples are easier to read.

I've used Posts and Categories as a basic, contrived example to demonstrate what I'm talking about here; in reality you'd rarely load all the posts for a category but there are other real world cases where it's less unreasonable you'd want to do this, and Posts + Categories is an easy way to demo it.

The problem

The built-in population feature is really useful; not just for

	require 'mongo'
	require 'pp'
	require 'json'

	class HaystackDB
	include Mongo
	def initialize
	mongo = MongoClient.new('localhost', 27017)['twitter']
	@whois = mongo['whois']
	end

	var redis = require("redis")
	, subscriber = redis.createClient()
	, publisher = redis.createClient();

	subscriber.on("message", function(channel, message) {
	console.log("Message '" + message + "' on channel '" + channel + "' arrived!")
	});

	subscriber.subscribe("test");

	from flask import Flask, render_template

	app = Flask(__name__)

	@app.route('/')
	@app.route('/index')
	def index(chartID = 'chart_ID', chart_type = 'bar', chart_height = 350):
	chart = {"renderTo": chartID, "type": chart_type, "height": chart_height,}
	series = [{"name": 'Label1', "data": [1,2,3]}, {"name": 'Label2', "data": [4, 5, 6]}]
	title = {"text": 'My Title'}

	var ws = require('ws'),
	nconf = require('nconf'),
	redis = require('redis');

	nconf.argv()
	.env();

	var server = new ws.Server({port: nconf.get('PORT')});

	var sockets = {};

	<!DOCTYPE HTML>
	<html>
	<head>
	<meta charset="utf-8">
	<meta http-equiv="X-UA-Compatible" content="IE=edge">
	<meta name="viewport" content="width=device-width, initial-scale=1">
	<title>Bootstrap Masonry Template</title>
	<link rel="stylesheet" href="http://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css">
	<link rel="stylesheet" href="style.css">
	<link rel="stylesheet" href="http://fonts.googleapis.com/css?family=PT+Sans+Caption:400,700">

	# -- coding: utf-8 --
	"""
	An example flask application showing how to upload a file to S3
	while creating a REST API using Flask-Restful.

	Note: This method of uploading files is fine for smaller file sizes,
	but uploads should be queued using something like celery for
	larger ones.
	"""
	from cStringIO import StringIO

	var WebSocketServer = require('ws').Server;
	var wss = new WebSocketServer({port: 8080});

	var jwt = require('jsonwebtoken');

	/**
	The way I like to work with 'ws' is to convert everything to an event if possible.
	**/
	function toEvent (message) {
	try {