python-fastapi

To build a high-performance Python API, use FastAPI with async/await to handle concurrent requests efficiently. This Skill incorporates asynchronous programming and Pydantic for data validation to streamline web service development.

Pydantic data validation in a FastAPI backend works by defining models for requests and responses, ensuring data integrity automatically. This Skill uses Pydantic to validate incoming payloads before processing asynchronous endpoint logic.

The best way to implement JWT authentication in a Python microservice is using OAuth2 with python-jose and passlib. This Skill provides secure access control by integrating these libraries for hashing passwords and generating cryptographic tokens.

Yes, you can use asynchronous SQLAlchemy for database operations in a FastAPI application. This Skill seamlessly connects to databases using SQLAlchemy's async capabilities with drivers like asyncpg and aiosqlite.

FastAPI automatically generates interactive API documentation for RESTful backends, providing Swagger UI and OpenAPI generation. This feature is built into the framework to help visualize and test asynchronous endpoints.

To run a FastAPI development server using uvicorn, execute the command `uvicorn app.main:app --reload --host 0.0.0.0 --port 8000` in your terminal. This starts the ASGI server with hot reloading enabled.