Library
25 posts
Handling Deprecation: Gracefully Retiring Features
Learn to deprecate Python library features gracefully with warnings, clear communication, and migration paths that minimize disruption to your users.
Python Logging Best Practices for Library Developers
A comprehensive guide to implementing logging in Python libraries - from basic setup to advanced patterns and common pitfalls to avoid
Documenting Your Library's API: Best Practices
Build a clear, comprehensive API reference with Sphinx & autodoc. Learn best practices for structure, content, cross-referencing your Python library docs.
Automating Docs Deployment with GitHub Actions and Pages
Keep docs current automatically! Learn to set up GitHub Actions to build Sphinx docs & deploy to GitHub Pages, ensuring sync with your code changes.
Crafting Code Examples: From Snippets to Real-World Scenarios
Master the art of crafting clear, runnable code examples for documentation using doctest, tutorials, and scripts to enhance user understanding.
Getting Started with Sphinx for Python Project Documentation
Learn how to use Sphinx to generate professional, cross-referenced documentation for your Python projects, covering installation, configuration, and autodoc.
Effective Docstrings: Google vs. NumPy vs. reStructuredText Styles
Learn to write clear docstrings Sphinx understands. Compares Google, NumPy, and reStructuredText formats for effective Python library documentation.
Where Did All the RAM Go? Memory Profiling with Memray
High CPU isn''t the only performance issue. Learn how Memray helps track memory leaks and excessive allocation in your Python library to optimize usage.
Finding the Slowdown: Profiling Python Code with Pyinstrument
Your benchmark says a function is slow, but why? Profilers like Pyinstrument help you pinpoint exactly where your Python code is spending its time.
How Fast Is It? Benchmarking Your Code with Pytest-Benchmark
Performance matters! Easily measure Python library speed with pytest-benchmark. Track performance, find regressions, and optimize effectively with benchmarks.