name: mastering-python-skill description: Modern Python coaching covering language foundations through advanced production patterns. Use when asked to "write Python code", "explain Python concepts", "set up a Python project", "configure Poetry or PDM", "write pytest tests", "create a FastAPI endpoint", "run uvicorn server", "configure alembic migrations", "set up logging", "process data with pandas", or "debug Python errors". Triggers on "Python best practices", "type hints", "async Python", "packaging", "virtual environments", "Pydantic validation", "dependency injection", "SQLAlchemy models". allowed-tools:

• Read
• Write
• Bash
• Edit metadata: version: 2.1.0 domains:
  • python
  • testing
  • packaging
  • web-development
  • async
  • security

Mastering Python Skill

Production-ready Python patterns with runnable code examples.

Contents

• Workflow
• Reference Files
• Sample CLI Tools
• When NOT to Use
• Full Table of Contents

Workflow

Phase 1: Setup

1. Verify Python version

   python --version  # Require 3.10+, prefer 3.12+
   

2. Create and activate virtual environment

   python -m venv .venv && source .venv/bin/activate
   

3. Install dependencies

   poetry install  # or: pip install -r requirements.txt
   

Phase 2: Develop

4. Reference appropriate patterns:

   • Types → type-systems.md
   • Async → async-programming.md
   • APIs → fastapi-patterns.md
   • DB → database-access.md

5. Follow project structure from project-structure.md

Phase 3: Validate

6. Run quality checks

   ruff check . && ruff format --check .
   mypy src/
   

7. Run tests with coverage

   pytest -v --cov=src --cov-report=term-missing
   

Phase 4: Deploy

8. Build and verify package

   python -m build && twine check dist/*
   

9. Deploy per docker-deployment.md or ci-cd-pipelines.md

Pre-Completion Checklist:

- [ ] All tests pass
- [ ] mypy reports no errors
- [ ] ruff check clean
- [ ] Coverage ≥80%
- [ ] No security warnings in dependencies

Reference Files

See TOC.md for detailed topic lookup.

Sample CLI Tools

Runnable examples demonstrating production patterns:

# Test examples
python sample-cli/async_fetcher.py https://httpbin.org/get
python sample-cli/config_loader.py --show-env
python sample-cli/db_cli.py init --sample-data && python sample-cli/db_cli.py list
python sample-cli/code_validator.py src/

When NOT to Use

• Non-Python languages: Use language-specific skills
• ML/AI model internals: Use PyTorch/TensorFlow skills
• Cloud infrastructure: Use AWS/GCP skills for infra (this covers code)
• Legacy Python 2: Focus is Python 3.10+