moai-lang-python

To scaffold a FastAPI project with authentication and tests in Python 3.13, use this skill to generate modern API structures, Pydantic models, and pytest workflows. It provides patterns for async support and end-to-end validation.

The best way to write async data pipelines using SQLAlchemy and Python is by applying modern typing and async patterns. This skill guides you through structuring data processing tasks and experiments with standard Python tooling.

Yes, this Python skill supports Django development with modern typing and async patterns. It covers Django alongside FastAPI, helping you build API services using Python 3.13+ features and standard environments.

To use pytest and Pydantic to validate API workflows, implement testing and quality workflows that check data models and end-to-end flows. This skill covers pytest-based suites for validating API authentication and processing tasks.

Yes, you can use standard pip and virtual environments to build data pipelines with this approach. The skill relies on standard Python tooling and libraries like FastAPI, Pydantic, and SQLAlchemy without requiring external dependencies.