Python Libraries for General AI

  • AIMA – Python implementation of algorithms from Russell and Norvig’s ‘Artificial Intelligence: A Modern Approach’
  • pyDatalog – Logic Programming engine in Python
  • SimpleAI – Python implementation of many of the artificial intelligence algorithms described on the book “Artificial Intelligence, a Modern Approach”. It focuses on providing an easy to use, well documented and tested library.
  • EasyAI – Simple Python engine for two-players games with AI (Negamax, transposition tables, game solving).

Gene Set Enrichment Analysis in Python

GSEAPY is a python wrapper for GSEA and Enrichr.
GSEAPY has five subcommands: gsea, prerank, ssgsea, replot enrichr.

PyTorch - From Research To Production

An open source deep learning platform that provides a seamless path from research prototyping to production deployment. PyTorch enables fast, flexible experimentation and efficient production through a hybrid front-end, distributed training, and ecosystem of tools and libraries.

Website

PyMOL

PyMOL is a user-sponsored molecular visualization system on an open-source foundation, maintained and distributed by Schrödinger.

Top 5 Python Web Frameworks

1) Django

Django is a high-level Python Web framework that encourages rapid development and clean, pragmatic design.
Ridiculously fast + Reassuringly secure + Exceedingly scalable


TurboGears 2 is a reinvention of the TurboGears project to take advantage of new components, and to provide a fully customizable WSGI (Web Server Gateway Interface) stack. 


Free open source full-stack framework for rapid development of fast, scalable, secure and portable database-driven web-based applications. Written and programmable in Python

4) Flask

Flask is a Python framework available under the BSD license. It was inspired by the Sinatra Ruby framework. Flask depends on the Werkzeug WSGI toolkit and Jinja2template.

 5)Bottle

Bottle is a microframework. Originally meant for building APIs, Bottle implements everything in a single source file. It has no dependencies apart from the Python Standard Library. Coding with Bottle gets you closer to the metal than coding with any full-stack framework.