jonah-williams

#!/bin/bash

# https://gist.github.com/949831
# http://blog.carbonfive.com/2011/05/04/automated-ad-hoc-builds-using-xcode-4/

# command line OTA distribution references and examples
# http://nachbaur.com/blog/how-to-automate-your-iphone-app-builds-with-hudson
# http://nachbaur.com/blog/building-ios-apps-for-over-the-air-adhoc-distribution
# http://blog.octo.com/en/automating-over-the-air-deployment-for-iphone/
# http://www.neat.io/posts/2010/10/27/automated-ota-ios-app-distribution.html

textarcana

When JSLint hurts your feelings, hug it out with Doug.

0. There are some situations that are difficult to distinguish mechanically, so I now consider all of those cases problematic, even when they are not obviously wrong.
1. You should be coding for readability and error resistance.
2. The place to express yourself in programming is in the quality of your ideas, and the efficiency of execution. The role of style is the same as in literature. A great writer doesn't express himself by putting the spaces before his commas instead of after, or by putting extra spaces inside his parentheses.
3. Many people think they have good reasons for doing things badly.
4. [The purpose of JSLint is not to make you feel good about inadequate coding standards.](http://tech.groups.y

piscisaureus

Locate the section for your github remote in the .git/config file. It looks like this:

[remote "origin"]
	fetch = +refs/heads/*:refs/remotes/origin/*
	url = [email protected]:joyent/node.git

Now add the line fetch = +refs/pull/*/head:refs/remotes/origin/pr/* to this section. Obviously, change the github url to match your project's URL. It ends up looking like this:

max-mapper

Put a closure on it

Sometimes you'll have objects that manage state along with event handling. This happens frequently in MVC apps. Let's start with a messy example:

var Launcher = function(rocket) {
  this.rocket = rocket
}

Launcher.prototype.isReady = function() {

domenic

This article has been given a more permanent home on my blog. Also, since it was first written, the development of the Promises/A+ specification has made the original emphasis on Promises/A seem somewhat outdated.

You're Missing the Point of Promises

Promises are a software abstraction that makes working with asynchronous operations much more pleasant. In the most basic definition, your code will move from continuation-passing style:

getTweetsFor("domenic", function (err, results) {
 // the rest of your code goes here.

defunctzombie

The spec has moved to a repo: https://github.com/defunctzombie/package-browser-field-spec to facilitate collaboration.

branneman

var fn = function(arg1, arg2) {
    var str = '<p>aap ' + this.noot + ' ' + arg1 + ' ' + arg2 + '</p>';
    document.body.innerHTML += str;
};
var context = {
    'noot': 'noot'
};
var args = ['mies', 'wim'];

// Calls a function with a given 'this' value and arguments provided individually.

paulirish

I wrote this in early January 2012, but never finished it. The research and thinking in this area led to a lot of the design of Yeoman and talks like "Javascript Development Workflow of 2013", "Web Application Development Workflow" and "App development stack for JS developers" (surpisingly little overlap in those talks, btw).

Now it's June 2013 and the state of web app tooling has matured quite a bit. But here's a snapshot of the story from 18 months ago, even if a little ugly and incomplete. :p

---

In the beginning…

• Intro to tooling

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

kevin-smets

Default

Powerlevel10k