Software Engineering Blog

Choosing which tools to use in your Python development environment might be the toughest part of Python programming. The Python tooling ecosystem continues to evolve rapidly. I’ll share what I need my tools to do, what tools are a part of my development environment, and why I use each one.

Explore common mistakes made with the Django framework and how they introduce issues into your code.

Learn about the various database constraints Django supports to ensure data integrity.

Learn the differences between floats and decimals in Python, common issues, and when to use each.

Dive into advanced django tips on topics such as Q objects, annotations, prefetch objects, custom querysets, and custom model managers.

Fetch stock prices concurrently using HTTP connection pooling and asyncio in Python with httpx.

Walk through setting up a Python development environment on Ubuntu 20.04 with tools such as pyenv, pipx, and poetry.

Learn how to set a high bar while searching for new dependencies to include in your software project.

Learn to implement the Content Security Policy header in a Django project and adapt to real world scenarios.

Walk through using pre-commit to automate Python code linting and formatting with flake8, black, isort, and bandit.