Simple example - Node.js, Restify, MongoDb and Mongoose - Backbone.js Tutorials
Before I start, the Backbone.js parts of this tutorial will be using techniques described in "Organizing your application using Modules to construct a simple guestbook. Getting started To easily understand this tutorial you should jump straight into the example code base. Example Codebase Example Demo This tutorial will assist you in saving data(Backbone.js Models) to MongoDb and retrieving a list(Backbone.js Collections) of them back. The technologies This stack is great for rapid prototyping and highly intuitive. Node.js "Node.js is a platform built on Chrome's JavaScript runtime for easily building fast, scalable network applications. Restify "Restify is a node.js module built specifically to enable you to build correct REST web services. MongoDb "MongoDB (from "humongous") is a scalable, high-performance, open source NoSQL database." Mongoose "Mongoose is a MongoDB object modeling tool designed to work in an asynchronous environment." Building the server Restify configuration Mongoose Schema
Axis2 -
Apache Axis2™ is a Web Services / SOAP / WSDL engine, the successor to the widely used Apache Axis SOAP stack. There are two implementations of the Apache Axis2 Web services engine - Apache Axis2/Java and Apache Axis2/C While you will find all the information on Apache Axis2/Java here, you can visit the Apache Axis2/C Web site for Axis2/C implementation information. Apache Axis2, Axis2, Apache, the Apache feather logo, and the Apache Axis2 project logo are trademarks of The Apache Software Foundation. Why Apache Axis2: A new architecture for Axis2 was introduced during the August 2004 Summit in Colombo, Sri Lanka. Apache Axis2 not only supports SOAP 1.1 and SOAP 1.2, but it also has integrated support for the widely popular REST style of Web services. Apache Axis2 is more efficient, more modular and more XML-oriented than the older version. Apache Axis2 is built on Apache AXIOM, a new high performant, pull-based XML object model. We hope you enjoy using Axis2. Let us know what you think!
web services - Understanding REST: Verbs, error codes, and authentication
Web service
A Web service is a method of communications between two electronic devices over a network. It is a software function provided at a network address over the web with the service always on as in the concept of utility computing. The W3C defines a Web service as: a software system designed to support interoperable machine-to-machine interaction over a network. It has an interface described in a machine-processable format (specifically WSDL). The W3C also states: We can identify two major classes of Web services:REST-compliant Web services, in which the primary purpose of the service is to manipulate XML representations of Web resources using a uniform set of stateless operations; andArbitrary Web services, in which the service may expose an arbitrary set of operations.[2] Explanation[edit] Many organizations use multiple software systems for management. Rules for communication between different systems need to be defined, such as: Web API[edit] Automated design methods[edit] Criticisms[edit]
RESTful API Design: Teach a Dog to REST | Apigee
UPDATED November 2011: Check out the second edition of the webinar - RESTful API Design. It's been 10 years since Roy Fielding first defined REST in his dissertation on Architectural Styles and the Design of Network-based Software Architectures. Since then, REST is often held as the standard for usable, well-designed, easy-to-integrate APIs. At the Cloudstock hackathon, I presented "Teach a Dog to REST," asking the question: where are all the elegant REST APIs we'd all hoped to see? While many claim REST has arrived, many APIs in the wild exhibit arbitrary, productivity-killing deviations from true REST. Slides + Audio: Architectural Styles and the Design of Network-based Software ArchitecturesSo, where are all the elegant REST APIs?
Machine vision
Early Automatix (now part of Microscan) machine vision system Autovision II from 1983 being demonstrated at a trade show. Camera on tripod is pointing down at a light table to produce backlit image shown on screen, which is then subjected to blob extraction. Machine vision (MV) is the technology and methods used to provide imaging-based automatic inspection and analysis for such applications as automatic inspection, process control, and robot guidance in industry.[1][2] The scope of MV is broad.[2][3][4] MV is related to, though distinct from, computer vision.[2] Applications[edit] The primary uses for machine vision are automatic inspection and industrial robot guidance.[5] Common machine vision applications include quality assurance, sorting, material handling, robot guidance, and optical gauging.[4] Methods[edit] Imaging[edit] Image processing[edit] After an image is acquired, it is processed.[19] Machine vision image processing methods include[further explanation needed] Outputs[edit]
CSS Style Guides
As we wrap up our recent poll on ordering CSS properties, it brings up the larger issue of CSS style guides. Ordering properties is just one choice you have to make that makes up a complete styling strategy. Naming is a part of it. Let's round up some existing ones. But first... I love pattern libraries. The List I'll list some excerpts from each that I like below. GitHub GitHub CSS Style Guide → As a rule of thumb, don't nest further than 3 levels deep. Unit-less line-height is preferred because it does not inherit a percentage value of its parent element, but instead is based on a multiplier of the font-size. Google Google HTML/CSS Style Guide → Use ID and class names that are as short as possible but as long as necessary. E.g. Do not concatenate words and abbreviations in selectors by any characters (including none at all) other than hyphens, in order to improve understanding and scannability. E.g. .demo-image not .demoimage or .demo_image Idiomatic CSS Nicolas Gallagher's Idiomatic CSS → More?
I Don’t Need No Stinking API: Web Scraping For Fun and Profit | Hartley Brody
If you’ve ever needed to pull data from a third party website, chances are you started by checking to see if they had an official API. But did you know that there’s a source of structured data that virtually every website on the internet supports automatically, by default? That’s right, we’re talking about pulling our data straight out of HTML — otherwise known as web scraping. Here’s why web scraping is awesome: Any content that can be viewed on a webpage can be scraped. If a website provides a way for a visitor’s browser to download content and render that content in a structured way, then almost by definition, that content can be accessed programmatically. Over the past few years, I’ve scraped dozens of websites — from music blogs and fashion retailers to the USPTO and undocumented JSON endpoints I found by inspecting network traffic in my browser. Why You Should Scrape With APIs, you often have to register to get a key and then send along that key with every request.
