brandonrachal

package main

import (
	"fmt"
	"bufio"
	"os"
	"strconv"
)

func ReadLinesFromFile(file_path string) ([]string, error) {

gerardpaapu

function IO(unsafePerform) {
    this.unsafePerform = unsafePerform;
}

IO.prototype.of = IO.of = function (v) {
    return new IO(function (ctx, cb) {
        cb(null, v);
    });
};

acrookston

#!/usr/bin/env puma

app_path = '/var/www/YOUR_APP_NAME/current'
directory app_path
environment 'production'
daemonize true
pidfile "#{app_path}/tmp/pids/puma.pid"
state_path "#{app_path}/tmp/pids/puma.state"
stdout_redirect "#{app_path}/log/puma_error.log", "#{app_path}/log/puma_access.log", true
threads 0,16

jfromaniello

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 {

etrepum

module MergeSort (mergeSort) where
-- | Bottom-up merge sort.
mergeSort :: Ord a => [a] -> [a]
mergeSort = mergeAll . map (:[])
  where
    mergeAll []   = []
    mergeAll [xs] = xs
    mergeAll xss  = mergeAll (mergePairs xss)

    mergePairs (a:b:xs) =

ToJans

module InventoryItems(Command(..), Event(..), handle) where

import Data.Maybe(isJust)

type Id = String
type Name = String
type Amount = Int

data Command = CreateInventoryItem	Id
	     | RenameInventoryItem	Id Name

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

mikeal

This is rather out of date and we've all moved past it. Me and Issac are cool now.

rodrigoalmeidaee

Proposta de projetinho para avaliação

Idéia Básica

Visualização dos microdados do INEP.

Contexto

schacon

HTTP transfer protocols
=======================

Git supports two HTTP based transfer protocols.  A "dumb" protocol
which requires only a standard HTTP server on the server end of the
connection, and a "smart" protocol which requires a Git aware CGI
(or server module).  This document describes both protocols.

As a design feature smart clients can automatically upgrade "dumb"
protocol URLs to smart URLs.  This permits all users to have the