Python and Node.Js are the top backend technologies that are compared mostly on the web. Technology is continuously growing every day around the world and so is the demand for more mobile and web application development projects. A technology stack is also known as a solutions stack is a set of tools or technology services that are used to develop a web or mobile application. It summarizes the software products, databases, programming languages, platforms, frameworks, and designing tools that are needed to interface with the application.
The backend is also known as server-side programming that is all about the inner workings of an application. The backend stack is important for the app to operate smoothly. A web application is a software or program that utilizes web browsers to perform its task over the internet and is stored on a remote server. The web application is built with web technologies and it allows the exchange of data from the client to the server.
Table Of Contents-
- What is Node.Js?
- What is Python?
What is Node.Js?
Node.Js is event driving and an
open-sourced runtime environment for JavaScript and it is not a programming
language. Node.Js was released by Ryan Dahl in 2009. One of the most
outstanding things about Node.Js is that it is based on Google’s V8 engine. It
is written in C++ and used in Google Chrome as it is designed by Google. The main
purpose of the engine is to compile JavaScript functions into machine code. Its
asynchronous nature helps it to handle concurrent requests without blocking the
I/O operations. 
What is Python?
Python is an open-source, high-level,
and object-oriented programming language. It was released by Guido Van Rossum
in 1991. It has lots of libraries, APIs, and ancillary tools available. Python
is extensively used for business applications and is conducive to many
programming paradigms. It runs mainly on Google’s App Engine. It allows benefiting
from numerous libraries and tools as it also developed by Google, the app
engine let to develop web apps with Python. Here is the table to get a general
understanding,
|  | Python | Node.Js | 
| Overview | A
  high-level language | Runtime
  JS environment | 
| Syntax | Simple
  and compact | Similar
  to browser’s JS | 
| Speed | Slower
  due to single flow | Faster
  due to the V8 engine. Single module caching and event-based architecture | 
| Architecture | Not
  event-driven | Non-blocking,
  event driving | 
| Extensibility | A lot
  of available tools and frameworks. Eg: Django, Pyramid, Sublime text, Robot | A lot
  of available tools and frameworks. Eg: Migrat, Hapi, Babel, Log.io, Express | 
| Scalability | Not
  easily scalable | Easily
  scalable vertically, horizontally, and in terms of typing | 
| Community | Large | Large | 
| Universality | Web,
  mobile, and desktop back end and front end | Web,
  mobile, and desktop back end only | 
| Libraries | Managed
  with Pip. Fast, reliable, and understandable.  | Managed
  with NPM. Fast, reliable, and understandable.  | 
| Learning | Simple
  with some technical background | Simple
  with knowledge of JS | 
| Best
  suitable for | Image
  processing software, Games, 3D modeling software, Data science apps, Voice
  and face recognition | IoT
  solutions, Streaming platforms, Real-time chats and chatbots, Complex
  single-page apps, Real-time collaboration apps | 
| Released
   | 1991 | 2009 | 
It is important to remember that choosing
the technology based on the needs as each software project has its own needs
and requirements.

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