- jQuery - The de-facto library for the modern age. It makes things like HTML document traversal and manipulation, event handling, animation, and Ajax much simpler with an easy-to-use API that works across a multitude of browsers.
- Backbone - Backbone.js gives structure to web applications by providing models with key-value binding and custom events, collections with a rich API of enumerable functions, views with declarative event handling, and connects it all to your existing API over a RESTful JSON interface.
- AngularJS - Conventions based MVC framework for HTML5 apps.
- Underscore - Underscore is a utility-belt library for JavaScript that provides a lot of the functional programming support that you would expect in Prototype.js (or Ruby), but without extending any of the built-in JavaScript objects.
- lawnchair - Key/value store adapter for indexdb, localStorage
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// Use Gists to store code you would like to remember later on | |
console.log(window); // log the "window" object to the console |
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<?php | |
/** | |
* Instagram PHP API | |
* | |
* @link https://github.com/cosenary/Instagram-PHP-API | |
* @author Christian Metz | |
* @since 8.11.2014 | |
*/ |
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<?php | |
require '../src/Instagram.php'; | |
use MetzWeb\Instagram\Instagram; | |
session_start(); | |
if (isset($_SESSION['access_token'])) { | |
// user authentication -> redirect to media | |
header('Location: success.php'); |
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<?php | |
require 'Instagram.php'; | |
use MetzWeb\Instagram\Instagram; | |
$instagram = new Instagram(array( | |
'apiKey' => 'YOUR_APP_KEY', | |
'apiSecret' => 'YOUR_APP_SECRET', | |
'apiCallback' => 'YOUR_APP_CALLBACK' // must point to success.php | |
)); |
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<?php | |
require 'Instagram.php'; | |
use MetzWeb\Instagram\Instagram; | |
$instagram = new Instagram(array( | |
'apiKey' => 'YOUR_APP_KEY', | |
'apiSecret' => 'YOUR_APP_SECRET', | |
'apiCallback' => 'YOUR_APP_CALLBACK' | |
)); |
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// PhantomJS Cheatsheet | |
$ brew update && brew install phantomjs // install PhantomJS with brew | |
phantom.exit(); | |
var page = require('webpage').create(); | |
page.open('http://example.com', function() {}); | |
page.evaluate(function() { return document.title; }); |
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<!-- Include the PubNub Library --> | |
<script src="https://cdn.pubnub.com/pubnub.min.js"></script> | |
<!-- Instantiate PubNub --> | |
<script type="text/javascript"> | |
var PUBNUB_demo = PUBNUB.init({ | |
publish_key: 'demo', | |
subscribe_key: 'demo' | |
}); |
Graph databases are now one of the core technologies of companies dealing with highly connected data.
Business graphs, social graphs, knowledge graphs, interest graphs and media graphs are frequently in the (technology) news. And for a reason. The graph model represents a very flexible way of handling relationships in your data. And graph databases provide fast and efficient storage, retrieval and querying for it.
Neo4j, the most popular graph database, has proven that ability to deal with massive amount of high connected data in many use-cases.
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