8 Best-Selling FastAPI Books Millions Love

François Voron brings a unique blend of machine learning expertise and full stack development to this guide on building data science applications with FastAPI. You learn to navigate FastAPI's advanced features like async I/O, dependency injection, and authentication, while integrating real-world AI projects such as object detection and text-to-image generation. The book offers practical insights into deploying and monitoring resilient machine learning APIs, making it especially useful if you're aiming to operationalize data science models in production environments. It's a solid fit if you have some Python and machine learning background and want to deepen your backend development skills without fluff.

What started as Sherwin John C. Tragura's extensive experience managing diverse development teams across Python, Java, and .NET ecosystems became a focused exploration of FastAPI’s potential for microservices. You’ll learn how to build both asynchronous and synchronous REST APIs, connect to relational and NoSQL databases, and apply event-driven programming within Python’s FastAPI framework. Detailed chapters on dependency injection, security, and numerical computation provide concrete skills to design scalable, structured microservices. This book is ideal if you're a Python developer wanting to transition from Flask or Django to a high-performance microservices architecture, or if you seek to deepen your understanding of FastAPI’s advanced capabilities.

This personalized book explores proven FastAPI techniques tailored to your development challenges, focusing on the knowledge and skills that best fit your background and goals. It covers core FastAPI concepts such as asynchronous programming, API design, security, and integration with databases, while also examining advanced topics aligned with your specific interests. By matching widely validated approaches with your unique needs, it reveals how to efficiently solve practical challenges in modern API development. The book’s tailored content ensures you engage deeply with FastAPI’s capabilities while addressing your personal project requirements. This custom approach accelerates learning and helps you build robust, high-performance APIs with confidence and clarity.

What started as Abdulazeez Abdulazeez Adeshina's personal journey into mastering Python backend development became a focused manual for anyone eager to build efficient web APIs using FastAPI. You’ll learn how to set up a fully functional FastAPI application that handles CRUD operations with both SQL and NoSQL databases, plus how to manage authentication and deployment. The book’s chapters guide you through routing, error handling, concurrency, and cloud deployment with practical clarity. If you want to move beyond Flask or Django and create performant APIs with minimal boilerplate, this book offers a pragmatic path without unnecessary jargon.

Eidan Rosado challenges the notion that transitioning to serverless architecture is daunting without clear guidance. Drawing on her extensive background in computer science and cloud technologies, she offers a focused roadmap for building Python APIs using FastAPI and AWS, including tools like AWS CDK and GraphQL. You’ll gain practical insight into setting up continuous integration and delivery pipelines, with example code and cheat sheets that clarify complex concepts. This book suits developers eager to start or convert projects to serverless setups, especially those who want a clear, methodical approach without wading through unnecessary theory.

Malhar Lathkar challenges the conventional wisdom that all Python web frameworks deliver similar performance by focusing on FastAPI's asynchronous capabilities that surpass traditional WSGI-based approaches. You learn to harness ASGI with tools like Pydantic for data validation and jinja2 for templating, building APIs that respond faster and scale better. The book dives into practical integration with both relational and NoSQL databases and explores deployment with Docker and cloud services, making it ideal for Python developers aiming to modernize their web applications. Chapters on Swagger UI and OpenAPI standards equip you to create well-documented, developer-friendly APIs, while the mix of theory and example-driven instruction ensures you grasp both concepts and practice.

This tailored book explores step-by-step FastAPI projects designed to accelerate your learning and development process. It covers essential FastAPI concepts, from basic API design to advanced asynchronous programming, allowing you to build functional, high-impact applications efficiently. The content is personalized to match your background and focuses on your specific goals, ensuring you engage with topics that matter most to you. Through daily guided projects, the book reveals practical techniques and clear explanations that make mastering FastAPI approachable and rewarding. By integrating proven approaches with your unique interests, this resource fosters a targeted learning experience that empowers you to create robust, scalable FastAPI apps.

What happens when a startup enthusiast with a solid grounding in statistics and computer science takes on building a movie recommendation system? DQ Choi, drawing from his experience as a data engineer and startup advisor, guides you through creating a Netflix-like app using Python, React, and FastAPI. You'll get hands-on with data processing libraries like pandas, implement recommendation algorithms with the "implicit" Python library, and deploy your app on modern cloud platforms. The chapters on collaborative filtering and matrix factorization offer concrete methods to personalize user experiences. This book suits you if you're eager to build a full stack portfolio project blending data science and web development, though it expects some programming familiarity.

While working as a seasoned developer with over four decades of experience, Bill Lubanovic noticed the growing need for a web framework that combines speed and simplicity without sacrificing modern Python features. This book walks you through building web applications with FastAPI, emphasizing its asynchronous capabilities and type validation that distinguish it from frameworks like Flask and Django. You get practical guidance on integrating forms, databases, RESTful APIs, and external services, making it ideal if you want to leverage Python 3.8+ features effectively. If you're comfortable with Python and eager to adopt a fast, modern framework, this book offers relevant insights without unnecessary complexity.

When Tim Peters wrote this book, he drew on years of hands-on experience building scalable Python backend applications. You’ll learn how to write robust backend code using Flask and FastAPI, manage databases with SQLAlchemy, and improve app performance through asynchronous programming. The book also walks you through containerizing apps with Docker and orchestrating deployments with Kubernetes, plus cloud deployment strategies on AWS. If you’re a Python developer looking to deepen backend skills or a web developer eager to master modern backend frameworks, this book offers concrete insights without fluff.