- Build core programming fluency with Python.
- Write clean, testable functions and modules.
- Handle common data processing tasks.
- Manage Python dependencies and virtual environments effectively.
- Python syntax, variables, control flow, and loops.
- Functions, modules, and package structure.
- Data structures (lists, dicts, sets, tuples).
- File I/O and exception handling.
- Intro to testing with
pytest.
- Virtual environments and isolation (
venv, pipenv, poetry).
pip and PyPI: installing, pinning, and publishing packages.pyproject.toml and dependency groups.- Lock files, reproducible installs, and vulnerability scanning with
pip-audit.
- Implement command-line utility scripts.
- Build a small data parser with validation.
- Add unit tests for core functions.
- Set up a project with a virtual environment, pinned dependencies, and a lock file.
- Run a dependency audit and resolve a flagged vulnerability.
- Python mini-project with tests.
- README documenting usage and assumptions.
- Reproducible dependency setup with
pyproject.toml and lock file.
- Practical coding assignment and code review.