Python Professional Practices: Clean Code, Testing, and Packaging

Moving from writing simple scripts to building professional software requires more than just knowing syntax; it requires a disciplined approach to quality, structure, and automation. This course provides a clear path to professionalizing your workflow by adopting the same standards used by top engineering teams. You will transform your coding habits by learning how to write clean, maintainable, and well-documented code. Through written explanations and code-based exercises, you will gain the skills to move a project from a local script to a fully tested, documented, and distributable package. What you'll learn: - Apply PEP8 guidelines and use automated formatters like Black to ensure consistent code style - Implement static type checking with MyPy to catch potential bugs early in the development cycle - Practice Test-Driven Development (TDD) and write robust unit tests using modern frameworks like pytest - Generate professional documentation using industry-standard docstring formats and tools like MkDocs - Build and distribute your own Python packages using modern packaging tools and standards - Configure automated workflows for continuous integration to maintain high code quality standards - Master debugging and profiling techniques to optimize the performance of your applications The course begins with foundational coding standards and best practices before moving into advanced tooling for linting, testing, and automated documentation. You will then progress to creating and publishing your own packages for the wider community. This course is designed for Python learners who understand the basics and are ready to adopt professional development workflows. No prior experience with testing or packaging is required. Start building more robust and maintainable Python projects today.