6 New FastAPI Books Reshaping Development in 2025

François Voron, a seasoned full stack developer and data scientist with a master's in machine learning, wrote this book to bridge the gap between data science and efficient API development using FastAPI. You’ll learn not just the framework’s core concepts like async I/O and dependency injection, but also how to implement real-world projects such as object detection and text-to-image generation with AI models. The book dives deep into securing APIs, managing databases, and deploying scalable data science applications, making it a solid pick if you’re aiming to build reliable machine learning backends. It’s especially suited for those comfortable with Python basics who want to extend their skills into production-ready FastAPI applications.

Marko Aleksendrić's decades of experience as a self-taught web developer and analyst shines through in this guide to the FARM stack—FastAPI, React, and MongoDB. You’ll learn how to set up MongoDB databases, model data flexibly, and craft APIs in pure Python using FastAPI, alongside building React frontends. The book also covers securing your apps with JSON Web Tokens and integrating cutting-edge Large Language Models like ChatGPT to extend functionality. If you’re comfortable with basic Python and JavaScript and want to accelerate your web app development, this book offers a practical path forward without unnecessary fluff.

This tailored FastAPI book explores the latest 2025 developments in this dynamic Python framework, focusing on the newest features and performance enhancements. It examines emerging best practices and cutting-edge tools, providing a personalized learning journey that matches your background and areas of interest. By concentrating on the most relevant advancements, the book reveals how you can leverage FastAPI's evolving ecosystem effectively. This personalized approach ensures the content aligns with your specific development goals, allowing you to stay ahead in backend development with focused insights into asynchronous programming, security, and deployment innovations.

After analyzing the demands of modern web development, Giunio De Luca crafted this guide to navigate the complexities of FastAPI with clarity and depth. You’ll move beyond basic setup to mastering custom middleware, WebSocket communication, and both SQL and NoSQL integrations, gaining hands-on recipes that address performance optimization and security concerns like authentication and rate limiting. The book’s structure, progressing from foundational principles to advanced techniques such as dependency injection and production deployment, equips you with a robust toolkit for building scalable, high-traffic APIs. This is ideal if you’re a Python developer ready to upgrade your skills for real-world, demanding web applications rather than a casual learner.

Unlike most FastAPI books that focus solely on syntax and basic usage, Malhar Lathkar's work digs into the asynchronous underpinnings that make FastAPI a high-performance framework. You’ll explore how ASGI enables faster response times compared to traditional synchronous frameworks, with detailed guidance on integrating Pydantic models for request and response validation. Chapters on database interaction—both relational and NoSQL—plus templating with jinja2 and deploying your app via cloud services like Deta and Docker, give you practical tools to build robust APIs. If you’re aiming to deepen your Python skills and harness FastAPI’s modern features, this book will serve you well, especially if you want to understand why asynchronous processing matters.

Bill Lubanovic's decades of experience in Python and Linux shaped this focused guide to FastAPI, a framework known for speed and simplicity. You learn how to leverage FastAPI's modern Python features like asynchronous functions and type validation, gaining practical skills in building web apps, RESTful APIs, and integrating databases and external services. The book walks you through differences between FastAPI, Starlette, and pydantic, clarifying async versus sync code with clear examples. If you're comfortable with Python and want to build efficient, cutting-edge web applications, this book gives you a solid, hands-on foundation without unnecessary complexity.

This tailored book explores the latest FastAPI trends emerging in 2025, focusing on helping you stay ahead in this rapidly evolving framework. It covers new developments, innovative features, and advanced use cases personalized to your background and interests. By addressing your specific goals, it reveals how to build future-ready applications that leverage cutting-edge capabilities. With a personalized approach, the book examines the evolving ecosystem of FastAPI, including asynchronous enhancements, modern Python integrations, and performance optimizations. It offers an engaging learning experience that matches your current expertise and focuses on the discoveries shaping FastAPI’s future.

What happens when deep Python expertise meets backend development? Tim Peters, an established figure in Python programming, offers you a hands-on guide to mastering backend systems using Flask and FastAPI, among other tools. You’ll learn to build dynamic web applications, handle databases efficiently with SQLAlchemy, and navigate asynchronous programming to boost performance. The book also walks you through containerization with Docker and Kubernetes and deploying applications on cloud platforms like AWS. Whether you’re a full stack developer or focused solely on backend, this book lays out practical techniques to elevate your backend skills.