Certainly! Below is a comprehensive list of 100 chapter titles for a book on FastAPI (Python), ranging from beginner to advanced topics:
- What is FastAPI? An Overview of the Web Framework
- Setting Up FastAPI for Your First Application
- Understanding FastAPI’s Performance and Speed
- The Key Differences Between FastAPI and Other Frameworks
- How FastAPI Works with ASGI
- FastAPI’s Philosophy: Simplicity, Speed, and Flexibility
- Creating Your First FastAPI Route
- Working with HTTP Methods in FastAPI
- Exploring FastAPI's Request and Response Models
- Running and Testing Your FastAPI Application
¶ Part 2: FastAPI Request Handling
- Understanding Request Data in FastAPI
- Retrieving URL Parameters in FastAPI
- Working with Query Parameters in FastAPI
- Body Parsing and Validation in FastAPI
- File Uploads and Downloads with FastAPI
- Understanding FastAPI’s Dependency Injection System
- Working with Forms in FastAPI
- Handling JSON, XML, and Other Content Types
- Customizing Request Headers in FastAPI
- Handling Errors and Custom Error Responses
¶ Part 3: FastAPI Response Handling
- Creating Custom Responses in FastAPI
- Returning JSON Responses in FastAPI
- Streaming Responses with FastAPI
- Setting Custom Response Status Codes
- Redirects in FastAPI: Handling URL Redirection
- Using HTTP Cookies for Client-Side State
- Setting HTTP Headers in FastAPI Responses
- Returning HTML and Templates in FastAPI
- CORS (Cross-Origin Resource Sharing) Handling in FastAPI
- Customizing Response Models with Pydantic
¶ Part 4: FastAPI Routing and URL Management
- Introduction to Routing in FastAPI
- Defining Path and Query Parameters
- Handling Multiple HTTP Methods in a Single Route
- Route Path Prefixes and Modular Routing
- Working with Dynamic Routes in FastAPI
- Grouping Routes with FastAPI’s APIRouter
- Handling Nested Routes in FastAPI
- Working with Regex Patterns in Routes
- Nested Route Parameters and Query Strings
- Using Include for Code Reusability in Routes
- What is Pydantic and How FastAPI Uses It
- Defining Pydantic Models for Request and Response Validation
- Field Types and Validation Rules in Pydantic
- Nested Models in Pydantic
- Custom Validators in Pydantic Models
- Using Pydantic for Query and Path Parameter Validation
- Pydantic Model Serialization and Deserialization
- Working with Enum Types in Pydantic
- Advanced Pydantic Features for Data Validation
- Handling Invalid Data: FastAPI’s Automatic Error Responses
¶ Part 6: Authentication and Authorization in FastAPI
- Understanding Authentication and Authorization Concepts
- Implementing Basic Authentication with FastAPI
- OAuth2 Authentication in FastAPI
- JWT Authentication: Secure Tokens with FastAPI
- Role-Based Access Control (RBAC) in FastAPI
- API Key Authentication in FastAPI
- Securing Routes with Dependencies in FastAPI
- Password Hashing with FastAPI
- Session Management in FastAPI
- Implementing 2FA (Two-Factor Authentication) in FastAPI
- Introduction to Databases in FastAPI
- Setting Up SQLAlchemy with FastAPI
- Creating Database Models with SQLAlchemy
- Performing CRUD Operations with SQLAlchemy
- Working with SQLite in FastAPI
- Managing Database Migrations with Alembic
- Using Async Database Drivers with FastAPI
- Integrating NoSQL Databases (MongoDB, Redis) with FastAPI
- Database Relationships and Joins in FastAPI
- Optimizing Database Queries for Performance in FastAPI
- Understanding Async and Await in Python
- Using Async Views and Routes in FastAPI
- Database Asynchronous Operations with FastAPI
- Handling Background Tasks with FastAPI
- Using Celery for Asynchronous Task Management
- Concurrency and Parallelism in FastAPI
- Streaming Data Asynchronously in FastAPI
- Async Support for WebSockets in FastAPI
- Improving Performance with AsyncIO in FastAPI
- Handling Timeouts and Cancellation in Asynchronous Code
- Testing Overview in FastAPI
- Setting Up pytest for Testing FastAPI
- Writing Unit Tests for FastAPI Routes
- Testing Database Interactions in FastAPI
- Mocking External APIs for Testing FastAPI
- Testing Authentication and Authorization Flows
- Using Test Clients for End-to-End Testing
- Running Tests in a Continuous Integration Pipeline
- Test Coverage and Best Practices for FastAPI
- Testing for Performance in FastAPI Applications
- Preparing FastAPI for Production Deployment
- Setting Up Uvicorn and Gunicorn for FastAPI
- Using Docker to Containerize FastAPI Applications
- Deploying FastAPI to AWS, Azure, and Google Cloud
- Scaling FastAPI with Load Balancing and Auto-Scaling
- Using Reverse Proxies with FastAPI (NGINX, HAProxy)
- Optimizing FastAPI Performance with Caching
- Monitoring and Logging in FastAPI Applications
- Using Prometheus and Grafana for FastAPI Monitoring
- Best Practices for Maintaining and Updating FastAPI Applications in Production
These 100 chapters will help developers of all levels build, deploy, and scale FastAPI applications, from setting up the first API to optimizing and securing production-ready systems. This roadmap covers the essentials of FastAPI's features and integrates advanced topics, including performance optimization, authentication, testing, and deployment strategies.