Learn NodeJS

Learn  NodeJS

Learn NodeJS
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2.5 Hours | Lec: 38 | 679 MB
Genre: eLearning | Language: English


Master all concepts of NodeJS thoroughly
Node.js is a very powerful jаvascript-based framework/platform built on Google Chrome's jаvascript V8 Engine. It is used to develop I/O intensive web applications like video streaming sites, single-page applications, and other web applications. Node.js is open source, completely free, and used by thousands of developers around the world.

Node.js is an open source, cross-platform runtime environment for developing server-side and networking applications. Node.js applications are written in jаvascript, and can be run within the Node.js runtime on OS X, Microsoft Windows, and Linux. Node.js also provides a rich library of various jаvascript modules which simplifies the development of web applications using Node.js to a great extent.

Following are some of the important features that make Node.js the first choice of software architects.

Asynchronous and Event Driven − All APIs of Node.js library are asynchronous, that is, non-blocking. It essentially means a Node.js based server never waits for an API to return data. The server moves to the next API after calling it and a notification mechanism of Events of Node.js helps the server to get a response from the previous API call.

Very Fast − Being built on Google Chrome's V8 jаvascript Engine, Node.js library is very fast in code execution.

Single Threaded but Highly Scalable − Node.js uses a single threaded model with event looping. Event mechanism helps the server to respond in a non-blocking way and makes the server highly scalable as opposed to traditional servers which create limited threads to handle requests. Node.js uses a single threaded program and the same program can provide service to a much larger number of requests than traditional servers like Apache HTTP Server.

No Buffering − Node.js applications never buffer any data. These applications simply output the data in chunks.




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