Here are my go-to tools & libraries for Python.

For all projects

  • pyenv - Simple Python Version Management
  • poetry - Python packaging and dependency management made easy
  • black - The uncompromising Python code formatter
  • isort - A Python utility / library to sort imports.
  • ruff - An extremely fast Python linter, written in Rust.
  • pytest - The pytest framework makes it easy to write small, readable tests, and can scale to support complex functional testing for applications and libraries.
  • behave - Behave is behavior-driven development, Python style.
  • bandit - Bandit is a tool designed to find common security issues in Python code.
  • safety - Safety checks Python dependencies for known security vulnerabilities and suggests the proper remediations for vulnerabilities detected.
  • tryceratops - A linter to prevent exception handling antipatterns in Python (limited only for those who like dinosaurs).
  • loguru - Python logging made (stupidly) simple

Extras

In no particular order:

  • FastAPI - FastAPI framework, high performance, easy to learn, fast to code, ready for production
  • fire - Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
  • lightning (aka Pytorch Lightning) - Deep learning framework to train, deploy, and ship AI products Lightning fast.
  • polars - Fast multi-threaded, hybrid-out-of-core DataFrame library in Rust | Python | Node.js
  • scikit-learn - Machine Learning in Python
  • SQLAlchemy - The Python SQL Toolkit and Object Relational Mapper
  • temporal.io - Temporal is a microservice orchestration platform which enables developers to build scalable applications without sacrificing productivity or reliability.
  • ray.io - Ray is a unified framework for scaling AI and Python applications.