What this book covers
Chapter 1, First Steps with FastAPI, serves as an introduction to the framework, emphasizing its speed, ease of use, and comprehensive documentation. This chapter is the gateway for you to set up your development environment, create your first FastAPI project, and explore its fundamental concepts.
Chapter 2, Working with Data, is dedicated to mastering the critical aspect of data handling in web applications. It covers the intricacies of integrating, managing, and optimizing data storage using both SQL and NoSQL databases.
Chapter 3, Building RESTful APIs with FastAPI, dives into the essentials of constructing RESTful APIs, which are fundamental to web services, enabling applications to communicate and exchange data efficiently.
Chapter 4, Authentication and Authorization, delves into the critical realms of securing your web applications against unauthorized access. It covers the basics of user registration and authentication, the integration of OAuth2 protocols with JWT for enhanced security, and the creation of essential components for an API.
Chapter 5, Testing and Debugging FastAPI Applications, pivots toward a crucial aspect of software development that ensures the reliability, robustness, and quality of your applications – testing and debugging.
Chapter 6, Integrating FastAPI with SQL Databases, embarks on a journey to harness the full potential of SQL databases within FastAPI applications. It is meticulously designed to guide you through leveraging SQLAlchemy, a powerful SQL toolkit and Object-Relational Mapper (ORM) for Python.
Chapter 7, Integrating FastAPI with NoSQL Databases, explores the integration of FastAPI with NoSQL databases by guiding you through the process of setting up and using MongoDB, a popular NoSQL database, with FastAPI. It covers CRUD operations, working with indexes for performance optimization, and handling relationships in NoSQL databases. Additionally, the chapter discusses integrating FastAPI with Elasticsearch for powerful search capabilities and implementing caching using Redis.
Chapter 8, Advanced Features and Best Practices, explores advanced techniques and best practices to optimize the functionality, performance, and scalability of FastAPI applications. It covers essential topics such as dependency injection, custom middleware, internationalization, performance optimization, rate limiting, and background task execution.
Chapter 9, Working with WebSockets, is a comprehensive guide to implementing real-time communication features in FastAPI applications using WebSockets. It covers setting up WebSocket connections, sending and receiving messages, handling connections and disconnections, error handling, and implementing chat functionality.
Chapter 10, Integrating FastAPI with other Python Libraries, deep dives into the potential of FastAPI when coupled with external libraries, enhancing its capabilities beyond its core features. It provides a recipe-based approach to integrating FastAPI with various technologies, such as Cohere and LangChain, to build LLM RAG applications.
Chapter 11, Middleware and Webhooks, delves into the advanced and crucial aspects of middleware and Webhooks in FastAPI. Middleware allows you to process requests and responses globally, while Webhooks enable your FastAPI application to communicate with other services by sending real-time data updates.
Chapter 12, Deploying and Managing FastAPI Applications, covers the knowledge and tools needed to deploy FastAPI applications seamlessly, leveraging various technologies and best practices. You will learn how to utilize the FastAPI CLI to run your server efficiently, enable HTTPS to secure your applications, and containerize your FastAPI projects with Docker.
