bithoundio

{
  "ignore": [
    "**/deps/**",
    "**/node_modules/**",
    "**/thirdparty/**",
    "**/third_party/**",
    "**/vendor/**",
    "**/**-min-**",
    "**/**-min.**",
    "**/**.min.**",

kyrcha

# function needed for visualization purposes
sigmoid = function(params, x) {
  params[1] / (1 + exp(-params[2] * (x - params[3])))
}

x = 1:53
y = c(0,0,0,0,0,0,0,0,0,0,0,0,0,0.1,0.18,0.18,0.18,0.33,0.33,0.33,0.33,0.41,
  0.41,0.41,0.41,0.41,0.41,0.5,0.5,0.5,0.5,0.68,0.58,0.58,0.68,0.83,0.83,0.83,
  0.74,0.74,0.74,0.83,0.83,0.9,0.9,0.9,1,1,1,1,1,1,1)

stanislavb

#!/bin/bash

usage() {
    echo "Usage $0 -c mongo_docker_container_name"
}

while [[ $# > 1 ]]
do
key="$1"

learncodeacademy

Deploying a node app with Forever is great...until your server restarts unexpectedly. Then your app stops running and you have to re-deploy.

To get around this, we're going to run our node app as an Upstart service. Upstart services are great, because, once started, the system auto-restarts them if they fail, or if the server restarts.

###Step 1: Create a service for your node app

• ssh in as root ssh root@youripaddress
• Create a node-app.conf file in /etc/init
  IMPORTANT: whatever filename you pick is what you will use to start|stop|restart your service i.e. service node-app start

learncodeacademy

##Setup your server (this would ideally be done with automated provisioning)

• add a deploy user with password-less ssh see this gist
• install forever npm install -g forever

##Install flightplan

• npm install -g flightplan
• in your project folder npm install flightplan --save-dev
• create a flightplan.js file

kyrcha

var request = require('request'),
	cheerio = require('cheerio'),
	async = require('async');

var base = 'https://www.npmjs.org',
	concurrency = 2;

var q = async.queue(function(task, next) {
	setTimeout(function() {
		console.log('GET ' + task.url);

sogko

'use strict';

// simple express server
var express = require('express');
var app = express();
var router = express.Router();

app.use(express.static('public'));
app.get('/', function(req, res) {
    res.sendfile('./public/index.html');

tsenart

package main

import (
	"net/http"
	"database/sql"
	"fmt"
	"log"
	"os"
)

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

asafge

/**
 * A generic confirmation for risky actions.
 * Usage: Add attributes: ng-really-message="Are you sure"? ng-really-click="takeAction()" function
 */
angular.module('app').directive('ngReallyClick', [function() {
    return {
        restrict: 'A',
        link: function(scope, element, attrs) {
            element.bind('click', function() {
                var message = attrs.ngReallyMessage;