FastAPI Fundamentals : Learn to build high-performance APIs with FastAPI!
Overview:
FastAPI is a modern, fast (high-performance), web framework for building APIs with Python 3.7+ based on standard Python type hints. It's designed to be easy to use and highly performant. This workshop aims to provide participants with a comprehensive understanding of FastAPI fundamentals, including its architecture, routing, request handling, data validation, and more.
Target Audience: Developers familiar with Python programming language who want to learn how to build robust APIs efficiently using FastAPI.
Prerequisites:
Basic understanding of Python programming language
Familiarity with HTTP protocol and RESTful APIs concepts is beneficial but not required
Workshop Outline:
Introduction to FastAPI
Overview of FastAPI
Features and advantages
Comparison with other frameworks (e.g., Flask, Django)
Setting Up Development Environment
Installing FastAPI and required dependencies
Setting up a virtual environment
Hello World with FastAPI
Routing and Request Handling
Defining routes and handling HTTP methods
Path parameters and query parameters
Handling request data (JSON, form data, files)
Data Validation and Serialization
Using Pydantic for data validation and serialization
Defining request and response models
Automatic data conversion and validation
Dependency Injection and Middleware
Understanding dependency injection in FastAPI
Implementing middleware for request/response manipulation
Authentication and authorization middleware
Asynchronous Programming
Introduction to asynchronous programming in Python
Leveraging async/await with FastAPI
Handling asynchronous requests efficiently
Testing FastAPI Applications
Writing unit tests for FastAPI endpoints
Using FastAPI TestClient for API testing
Integration testing with pytest
Documentation and OpenAPI
Generating API documentation with Swagger UI and ReDoc
Customizing documentation with FastAPI
OpenAPI specifications and automatic documentation generation
Deployment and Production Considerations
Deploying FastAPI applications to various platforms (e.g., Heroku, AWS, Docker)
Optimizing for production (e.g., performance tuning, monitoring)
Security best practices
Advanced Topics (Optional)
WebSocket support
Background tasks and scheduling
Custom middleware and extensions
Hands-on Exercises:
Create a simple CRUD API for managing a user database
Implement authentication and authorization middleware
Write unit tests and integration tests for the developed API
Document the API endpoints using Swagger UI and ReDoc
Resources and References:
Official FastAPI documentation
FastAPI GitHub repository
Pydantic documentation
Asynchronous Python documentation
Real Python tutorials on FastAPI