Node.js Vs Python: What's the Difference?

What is Node.js?

Node.js is a server-side platform built on Google Chrome's JavaScript Engine. It uses a non-blocking, event-driven I/O model. It allows developers to create data-intensive real-time applications that run across distributed devices. Its applications are written in JavaScript. It can be run on OS X, Microsoft Windows, and Linux operating systems. It is widely used to run real-time server applications.

What is Python?

Python is an object-oriented, high level, dynamic and multipurpose programming language. Python's syntax and dynamic typing with interpreted nature, make it an ideal language for scripting.

It supports multiple programming patterns, including object-oriented programming, functional programming, or procedural styles. Moreover, it an interpreted language which means it cannot convert to computer-readable code before its runs at runtime.

In this compariosn, we will cover

• Features of Node js
• Features of Python
• Node JS Vs. Python
• When to use Node js?
• When to use Python?

Features of Node js

• It uses a single threaded model with event looping. This type of event mechanism benefits the server to respond in a non-blocking way.
• It is built on V8 JavaScript Engine makes it fastest code execution library.
• There is no buffering in Node.js as applications output the data in pieces.

Features of Python

• It allows low-level modules inclusion to the Python interpreter. These modules allow programmers to add or customize their tools.
• It provides interfaces to all major commercial databases.
• It supports functional and structured programming methods as well as OOP.
• It offers high-level dynamic data types and supports dynamic type checking.
• It can be easily integrated with C, C++, COM, ActiveX, CORBA, and Java.

When to use Node js?

As Node.js is a platform built on Chrome's JavaScript runtime it helps to develop building scalable network applications. It uses an event-driven, non-blocking I/O model which makes it an ideal option for developing for data-intensive real-time applications.

Node.js offers greater performance and speed. It is an ideal solution for developing messaging or chatting applications. It is also useful for developing heavy-load applications and e-commerce sites that depend on the speed of processing.

Apps best suited with Node JS:

• I/O bound Applications
• Data Streaming Applications
• Data Intensive Real-time Applications (DIRT)
• JSON APIs based Applications
• Single Page Applications

When to use Python?

Python has a library of open source data analysis tools, web frameworks, and testing instruments. Therefore, its ecosystem one of the largest out of any programming community.

Python is a most accessible language for new programmers as community provides many introductory resources. The language is also taught in universities and used for working with beginner-friendly devices such as the Raspberry Pi.

Python is also featuring consistency, stability, and easiness of use. It is highly preferred for developing scientific applications, big data solutions, and government projects.

Apps best suited with Python

Conclusion:

• Node.js is a server-side platform. It is built on Google Chrome's JavaScript Engine. It offers features like single thread, very fast performance and no buffering.
• Python is an object-oriented, high level, dynamic and multipurpose programming language. It has features like support for major databases, functional and statured programming, etc.
• Node.js can be used for client and server web development.
• Python is best suited for developing scientific and big data solutions.

With above-given points, we can say that no language is good or bad. In fact, both Node.js and Python will ensure reliable, consistent and effective solutions by implementing the correct method and using the right approach.