toolchain-python
Python project toolchain -- venv, pip, testing, linting, packaging, and debugging.
What this skill does
# Python Toolchain Common commands for Python projects. ## Virtual environments ```bash python3 -m venv .venv source .venv/bin/activate pip install -r requirements.txt ``` ```bash # Poetry poetry install poetry shell poetry add requests poetry add --group dev pytest ``` ```bash # uv (fast) uv venv uv pip install -r requirements.txt uv pip install requests ``` ## Testing ```bash # pytest python3 -m pytest python3 -m pytest -v --tb=short python3 -m pytest tests/test_api.py -k "test_login" python3 -m pytest --cov=src --cov-report=term-missing # unittest python3 -m unittest discover -s tests ``` ## Linting & formatting ```bash # Ruff (fast, replaces flake8+isort+black) ruff check . ruff check --fix . ruff format . # Black black . # Mypy (type checking) mypy src/ ``` ## Running ```bash python3 src/main.py python3 -m mypackage # Flask flask run --debug # Django python3 manage.py runserver python3 manage.py migrate python3 manage.py createsuperuser ``` ## Debugging ```bash python3 -m pdb src/main.py # PDB debugger python3 -c "import sys; print(sys.version)" python3 -c "import pkg; print(pkg.__version__)" ``` ## Packaging ```bash pip install build python3 -m build # Build wheel + sdist pip install -e . # Editable install ``` ## Dependencies ```bash pip list --outdated pip freeze > requirements.txt pip-audit # Security audit ``` ## Notes - Check for `pyproject.toml`, `setup.py`, or `requirements.txt` to understand project structure. - Prefer virtual environments to avoid global package conflicts. - Use `python3` explicitly (not `python`) for portability.
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