python-dev

You can scaffold a FastAPI project using Python 3.13 by applying the skill's standardized project layout, Pydantic v2 models, and type hint templates. This provides clear scaffolding steps and reference templates to quickly bootstrap REST endpoints with consistent structure.

Yes, the patterns support asynchronous database access and environment configuration via pydantic-settings. It provides templates that integrate async I/O with data validation to satisfy requirements for robust REST endpoints in FastAPI applications.

The best way to structure pytest test suites is by using the skill's test scaffolding patterns. It provides reference templates for pytest-based test suites that align with a standardized project layout, ensuring testing standards are met across your full stack.

It includes patterns and templates specifically designed for data processing pipelines and async I/O in Python. The skill provides setup guidance for creating data processing scripts that leverage modern Python 3.13 features alongside type hints.

No, you do not need to configure linting and typing standards separately. The skill ensures linting, typing, and testing standards are satisfied automatically during the scaffolding process, integrating these requirements directly into your FastAPI project setup.