Christian Ledermann articles - 7 total
Scratching the Itch, Paying the Debt: How Community Keeps Legacy Open Source Projects Alive
This is the story of FastKML and PyGeoIf, two Python libraries born over a decade ago when KML was the web map standard. As the code aged and technical debt mounted, a multi-year effort began to modernize them with type hints and cutting-edge testing. A journey of refactoring legacy code for the modern Python ecosystem and the vital role of community engagement, especially Hacktoberfest contributions in providing the sustained momentum needed to complete the challenging upgrade to version 1.0.
Python Code Quality Tools Beyond Linting
The rapid adoption of **Ruff** has solved the long-standing community problem of coordinating dozens of separate linters and formatters, establishing a unified, high-performance axis for standard code quality. A second category of tools continues to operate in isolated, silos. Tools dedicated to architectural enforcement and deep structural metrics.
Trusted publishing ‐ It has never been easier to publish your python packages
Publishing Python packages used to be a daunting task, but not any more. Even better, it has become significantly more secure. Gone are the days of juggling usernames, passwords, or API tokens while relying on CLI tools. With trusted publishing, you simply provide PyPI with the details of your GitHub repository, and GitHub Actions takes care of the heavy lifting.
'Hypermodernize' your Python Package
Convert your legacy 'setup.py' into a modern 'pyproject.toml'
A Tale of Two Kitchens - Hypermodernizing Your Python Code Base
Hyper modern python is an opinionated guideline about best practices and clean code in python in the 21st century. It is a guide to modern Python tooling with a focus on simplicity and minimalism.
Love Your Representation
Embrace the power of `__repr__`
Type Annotate an existing Python Django Codebase with MonkeyType
Why annotate existing code manually when Python already knows what type a variable is at runtime? A walkthrough to type annotate Python code with PyTest and Monkeytype.