Professional Python Projects
Package a maintainable project, build a usable CLI, test its boundaries, and complete a production-minded capstone.
Modules, environments, tests, and data boundaries.
Package a usable CLI with setuptools, generate stable JSON output, return meaningful exit codes, and document acceptance criteria for professional distribution.
Read in order, or jump to what you need.
Every lesson builds on the one before it. Open any lesson to read the explanation, run the examples, and try the practice challenges.
- 18.01Package Structure and pyproject.toml4 min
Create an installable project and verify the built artifact in a clean environment.
- 18.02Command-Line Interfaces with argparse4 min
Design predictable arguments, helpful failures, stable output, and testable exit behavior.
- 18.03Testing Strategy and CI4 min
Build a small test portfolio that checks meaningful contracts, integration boundaries, and the installed artifact.
- 18.04Capstone: A Reliable Catalog CLIProject4 min
Combine validation, deterministic reporting, atomic file replacement, packaging, and user-facing acceptance checks.
Ready to move on?
Install the built wheel outside the source checkout and verify success cases, usage errors, and operational failures all behave as documented.
Open the module self-check