fastapi

Build scalable Python APIs using FastAPI to get automatic input validation, Pydantic model integration, and OpenAPI-based interactive documentation without manual endpoint specification. It supports high-performance asynchronous execution for robust web services.

Set up WebSocket support in a Python web service using FastAPI to enable real-time communication endpoints. It provides high-performance asynchronous execution to handle continuous data streams and real-time updates efficiently.

Dependency injection in Python APIs works through FastAPI by modularizing configuration and creating testable architecture. It allows you to declare dependencies that are automatically resolved and injected into your routing endpoints.

The best way to structure routing and background processing for microservices is using FastAPI. It provides clean routing for scalable APIs and supports background task execution alongside asynchronous endpoints for production deployments.

You can use Pydantic models for data validation in asynchronous Python endpoints with FastAPI. It automatically applies Pydantic validation to incoming requests, ensuring data integrity before executing high-performance asynchronous logic.

You need Uvicorn to run a minimal FastAPI application locally. Installing FastAPI and Uvicorn allows you to execute the server with reload capabilities using the command uvicorn app.main:app --reload.