Node.js and Python have widely discussed programming languages when it comes to back-end development. In this article, we will explore the various features of Node.js and Python, and determine how the two differ from each other so you can choose the right technology for your next project.

What is Node.js?

Based on Google Chrome’s V8 JavaScript Engine, Node.js is an open-sourced server-side platform written in C++. Thanks to V8′ optimised performance and fast speed, Node.js is able to compile Javascript-based functions to machine code in a relatively efficient manner.

Unlike Python, it is not a programming language but has a built-in Javascript interpreter, and optimizers and compilers. Node.js works on an event-driven I/O model that helps developers in the creation of data-oriented real-time applications written in Javascript.

It was invented by Ryan Dahl in 2009 to be used in Google Chrome. Node.js is compatible with Mac OS X, Microsoft’s Windows, and Linux operating systems. It is better suited for web applications and web development. Data streaming applications, JSON APIs based applications and Data Intensive Real-time Applications (DIRT) are some of the most suitable applications for Node.js.

Node.js Features

1. It runs on a non-blocking Javascript-based model that is single threaded and has event looping benefits for the server.
2. Google’s high speed and performance V8 JavaScript Engine equips Node.js with the fastest code execution library.
3. Node.js eliminates the need for buffering as the output data is segmented in pieces.

What is Python?

Python is a high level, interpreted  popular programming language that is widely used in backend development. It is an object-oriented, multipurpose language that supports dynamic typing, making it faster, reliable and simpler to use. Python’s close to human language syntax makes it an ideal language for scripting.

It was invented by Guido van Rossum in 1991 and primarily runs Google’s App Engine. Since Python is an interpreted language, its execution takes longer but this results in a faster and more efficient development process. Python supports functional programming, Object Oriented Programming as well as procedural programming.

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