FastAPI Mastery : Build Modern APIs with Python

Explore FastAPI as a modern, fast web framework for building robust APIs with minimal boilerplate. Discover its speed, simplicity, asynchronous support, dependency injection, and OpenAPI documentation.

Install fast API and uvicorn with pip, create a Main.py app with a get route returning a JSON message, and run the server with uvicorn auto reload.

Set up basic http endpoints with fast api, implement get and post requests, use response models and query parameters, and validate with pydantic models while exploring swagger docs for testing.

Learn how FastAPI uses asynchronous functions to interact with a SQLite database using the databases package, including setup, startup and shutdown events, creating tables, inserting data, and fetching results.

Explore how FastAPI handles background tasks using asynchronous programming, scheduling long-running tasks via a post endpoint, and logging progress to log.txt with swagger tests.

Explore async programming and how FastAPI leverages async to run tasks concurrently, using asyncio, await, and the event loop to boost performance.

Learn how FastAPI uses asynchronous programming on an ASGI server to handle multiple requests without blocking, comparing async and sync views and real-time use cases like WebSocket.

Learn how asynchronous work in FastAPI and how concurrent external API requests reduce total execution time by running multiple requests in parallel using an async http client.

WebSockets enable full duplex real time communication between client and server. FastAPI provides native WebSocket support with concise endpoints for real time apps like chat and live notifications.

Define a basic FastAPI WebSocket endpoint, test with Postman, and demonstrate full‑duplex chat communication by accepting connections, sending and receiving messages, and closing the socket.

Build a broadcast websocket endpoint in FastAPI to manage multiple active connections and broadcast messages to all connected clients, testable with Postman, laying the groundwork for a team chat app.

Build a simple group chat with FastAPI by creating a websocket-based connection manager that handles connect, disconnect, and broadcast for all active users.

Learn how jwt and oauth enable authentication and authorization in FastAPI, create and verify access tokens, and protect routes with role-based access, and handle data validation and error responses.

Illustrates automatic data validation with Pydantic in FastAPI, shows handling and customizing validation errors, and returning meaningful error responses for invalid requests.

Deploy lightweight AI models with FastAPI by using Hugging Face Transformers and PyTorch, build a sentiment analysis API, expose via Swagger, load pipelines, and test with text input.

learn to host AI models with Cloudflare AI Workers and FastAPI, configure API tokens and environment variables, and call the hosted models via a REST API for text generation.

Master testing FastAPI with pytest by covering unit tests for async endpoints and sockets, mocking external API calls, and structuring a modular project with separate db, routes, and models.

Deploy a sample FastAPI app to a server with Postgres and ORM in a single file, configure venv, Postgres user, nginx, and Gunicorn, and verify via Swagger docs.