Python Toolbox

This page is a collection of libraries and tools I find useful as a Python developer. Listed in alphabetical order.

Celery

• pypi package: celery
• Documentation

Distributed task queue. Easy to use and yet competent. Supports various backends (Redis is a good start).

Click

• pypi package: click
• Documentation

Essential for writing command line tools. Makes argument parsing and documentation a breeze.

Cookiecutter

• pypi package: cookiecutter
• Documentation

A tool that makes handling project templates easy.

List of Cookiecutter project templates

Django

• pypi package: django
• Documentation

The de facto standard web application framework for Python.

Django REST framework

• pypi package: djangorestframework
• Documentation

Use this to make writing RESTful APIs very easy with Django.

Faker

• pypi package: fake-factory
• Documentation

This is a tool for generating fake user data. I find it useful for populating databases both for development and for testing.

Flask

• pypi package: flask
• Documentation

Lightweight web application framework. Use this when Django feels cumbersome.

pdb++

• pypi package: pdbpp

Extension to the built in pdb debugger. Features include stuff like syntax highlighting, tab completion and sticky mode for easier steping.

pytest

• pypi package: pytest
• Documentation

Probably the best framework for testing.

virtualenv and pip

• pypi packages: virtualenv and pip
• Documentation for virtualenv Documentation for pip

These are essential for any Python developer. They make sandboxing your projects very easy.