fastapi-masterylisted

# FastAPI Mastery ## Overview Build production-ready REST APIs with FastAPI using modern Python features, automatic validation, interactive documentation, and asynchronous capabilities. ## Quick Start **Create a basic FastAPI application:** ```python from fastapi import FastAPI app = FastAPI() @app.get("/") async def root(): return {"message": "Hello World"} ``` **Run with:** ```bash uvicorn main:app --reload ``` **Access interactive docs:** http://localhost:8000/docs ## Skill Structure by Complexity Level This skill is organized into three progressive levels: ### Beginner (references/01-beginner.md) Read when working with: - First FastAPI application setup - Basic routing and path operations - Request parameters (path, query, body) - Pydantic models and validation - Response models and status codes - Basic error handling ### Intermediate (references/02-intermediate.md) Read when implementing: - Authentication and authorization (JWT, OAuth2) - Database integration (SQLAlchemy, async databases) - Dependency injection system - Middleware and CORS - Background tasks - File uploads and downloads ### Advanced (references/03-advanced.md) Read when building: - WebSocket connections - Testing strategies (pytest, TestClient) - Performance optimization - Containerization and deployment - API versioning - Advanced error handling and logging ## Common Development Workflows ### Building a CRUD API 1. Define Pydantic models for request/response 2. Set up database model