python Technology Stack

Pick best Python Technology Stack for enterprise application

Python officially announced the final version python 3.9 release date is 05 Oct, 2020. In this article we gonna discuss Python technology stack for enterprise application, What is Python technology stack for enterprise software. also, we mention all related topic regarding python technology stack like What is python 3.9 benchmark and python 3.9 performance, how to setup py-thon on windows, Ubuntu or Mac, etc. via directly as well as an anaconda, how install Django on anaconda as well as Ubuntu. Nowadays python is the most popular language which is used in Web development, machine learning, artificial intelligence, robotics, IoT etc. We are going to discuss Python technologies stack for enterprise application/software and Python 3.9 vs 3.8 features

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Python Technology Stack for enterprise application

Server Side Technology Stack

Programming Language: Python

python-logo Python Technology Stack

Backend Framework: Django Framework

django-logo-Python Technology Stack

Database storage: PostgreSQL Database

Python Technology Stack postgresql-logo

Right Key-value storage: Redis

Python Technology Stack redis logo

Web server: NGINX

NGINX-logo-Python Technology Stack

Hosting provider: Amazon web service (AWS)

NGINX-logo-Python Technology Stack Amazon_Web_Services_logo_AWS

API testing tool: Postman tool

Python Technology Stack postman

Client-Side Technology Stack

Frontend Programming Language: HTML, CSS, JavaScript

Python Technology Stack html css js

Frontend Framework: ReactJS

Python Technology Stack reactjs

Automation Framework: SeleniumKarma (If angular as well)

selenium_logo Python Technology Stack

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Features of python and Why python is so popular language (Feature of both 3.8 and 3.9):

  • Parallel filesystem cache for compiled bytecode
  • Debug builds share ABI as release builds
  • f-strings support a handy = specifier for debugging
  • continue is now legal in finally: blocks
  • on Windows, the default asyncio event loop is now ProactorEventLoop
  • on macOS, the spawn start method is now used by default in multiprocessing
  • multiprocessing can now use shared memory segments to avoid pickling costs between processes
  • typed_ast is merged back to CPython
  • LOAD_GLOBAL is now 40% faster
  • pickle now uses Protocol 4 by default, improving performance. More details
  • Now __import__() in python 3.9 raises ImportError. Beforeit raise ValueError
  • Now python 3.9 gets the absolute path of the script file name
  • In newer version python 3.9 “”.replace(“”, s, n) now returns s instead of an empty string for all non-zero n 
  • New dump() module multi line intended output
  • Asyncio is no longer support on this version.because of security concern
  • Previously subinterpreter throws fatal error but now subinterpreter  spawning a daemon thread now raises a RuntimeError.
  • To improve consistency with import statements, importlib.util.resolve_name() now raises ImportError instead of ValueError for invalid relative import attempts.

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Other topic related to this

Python 3.9 vs 3.8 What is Python 3.9 vs 3.8 benchmark and Python 3.9 vs 3.8 features- read more

What are the best microservices technology stack and Two pizza rule – read more

Pick best Java Technology Stack for enterprise application-Read more

How to install python Django on Anaconda – read more

How to install python on Ubuntu 18.04 Linux and Anaconda- read more

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