Master Python packaging and environments at full engineering depth - virtual environments, pip and lockfiles, pyproject.toml, Poetry, semantic versioning, and publishing to PyPI for production-grade projects.
Overview of hands-on projects for Module 05 - Packaging and Environments. Build, test, version, and publish a real Python utility package from scratch.
Master pip and requirements files at full engineering depth - dependency resolution, version specifiers, pip-tools lockfiles, layered requirements, hash verification, supply-chain security, and private package indexes for production workflows.
Master Poetry at engineering depth - lockfile mechanics, version constraints, dependency groups, virtualenv management, publishing, and CI integration for reproducible Python builds.
Build, test, version, and publish pyutils-engineersofai - a typed Python utility library with src/ layout, hatchling build backend, full pytest coverage, CHANGELOG, and GitLab CI pipeline that publishes on v* tags.
Master Python package publishing at engineering depth - sdist vs wheel formats, build backends, TestPyPI workflow, twine and Poetry publishing, API tokens, private registries, and automated CI/CD release pipelines.
Master pyproject.toml at full engineering depth - PEP 517/518/621 build system specification, build backends, the full project table, optional dependencies, entry points, tool configuration, src layout, dynamic versioning, and building distribution artifacts.
Solve 11 Python pip and requirements problems. Covers pip practice, requirements.txt exercises. Hints and solutions.
Solve 11 Python poetry problems. Covers poetry practice, poetry lockfile, poetry dependency. Hints and solutions.
Solve 11 Python publishing packages problems. Covers pypi upload, wheel sdist, twine upload. Hints and solutions.
Solve 11 Python pyproject.toml problems. Covers pyproject.toml practice, PEP 517, build backend. Hints and solutions.
Solve 11 Python semantic versioning problems. Covers semver python, version specifiers, breaking changes. Hints and solutions.
Solve 11 Python venv and virtualenv problems. Covers venv practice, virtualenv exercises, venv activation. Hints and solutions.
Master Semantic Versioning at engineering depth - MAJOR.MINOR.PATCH definitions, breaking change classification, Python version specifiers, pre-release ordering, CalVer, changelog discipline, and Git tagging for releases.
Master Python virtual environments at full engineering depth - how venv works at the filesystem level, PATH manipulation, pyvenv.cfg, pyenv for Python version management, and why Docker containers are not a substitute for virtual environments.
