FastAPI Cookbook: Develop high-performance APIs and web applications with Python
by 作者: Giunio De Luca (Author)
Publisher Finelybook 出版社: Packt Publishing
Publication Date 出版日期: 2024-08-02
Language 语言: English
Pages 页数: 358 pages
ISBN-10 书号: 1805127853
ISBN-13 书号: 9781805127857
Book Description
Enhance your web development skills, from setting up your environment and advanced integrations to building robust, high-traffic web applications with practical, scalable solutions
Key Features
- Explore FastAPI in depth, from basic setup to advanced features such as custom middleware and WebSockets
- Discover practical strategies to optimize app performance and handle high traffic
- Implement SQL and NoSQL integration techniques for versatile data management in FastAPI applications
- Purchase of the print or Kindle book includes a free PDF eBook
Book Description
FastAPI is a cutting-edge Python framework that is revolutionizing the way web apps and APIs are built. Known for its speed, simplicity, and scalability, FastAPI empowers developers to create high-performing applications with ease. This book will help you leverage FastAPI’s immense potential to handle high-traffic scenarios and integrate seamlessly with modern Python tools.
The book begins by familiarizing you with the basics of setting up and configuring your FastAPI environment before moving to the intricacies of building RESTful APIs, managing data with SQL and NoSQL databases, and handling authentication and authorization. Next, you’ll focus on advanced topics such as custom middleware, WebSocket communication, and integration with various Python libraries. Each chapter is meticulously crafted with practical recipes, progressing from foundational concepts to advanced features and best practices. The concluding chapters show you how to optimize performance, implement rate limiting, and execute background tasks, empowering you to become a proficient FastAPI developer.
By the end of this book, you’ll have gained the skills you need to migrate existing apps to FastAPI, and be equipped to tackle any challenge in the modern web development landscape, ensuring your apps are not only functional, but also efficient, secure, and scalable.
What you will learn
- Explore advanced FastAPI functionalities such as dependency injection, custom middleware, and WebSockets
- Discover various types of data storage for powerful app functionality with SQL and NoSQL
- Implement testing and debugging practices for clean, robust code
- Integrate authentication and authorization mechanisms to secure web apps
- Acquire skills to seamlessly migrate existing applications to FastAPI
- Write unit and integration tests, ensuring reliability and security for your apps
- Deploy your FastAPI apps to production environments for real-world use
Who this book is for
This book is for Python developers looking to enhance their skills to build scalable, high-performance web apps using FastAPI. Professionals seeking practical guidance to create APIs and web apps that can handle significant traffic and scale as needed will also find this book helpful by learning from both foundational insights and advanced techniques. The book is also designed for anyone familiar with RESTful APIs, HTTP protocols, and database systems, as well as developers looking to migrate existing applications to FastAPI or explore its advanced features.
Table of
Contents
- First Steps with FastAPI
- Working with Data
- Building RESTful APIs with FastAPI
- Authentication and Authorization
- Testing and Debugging FastAPI Applications
- Integrating FastAPI with SQL Databases
- Integrating FastAPI with NoSQL Databases
- Advanced Features and Best Practices
- Working with WebSockets
- Integrating FastAPI with other Python Libraries
- Middleware and Webhooks
- Deploying and Managing FastAPI Applications
About the Author
Giunio De Luca is a software engineer with over 10 years of experience in fields such as physics, sports, and administration. He graduated in industrial engineering from the University of Basilicata and holds a PhD in numerical simulations from Paris-Saclay University. His work spans developing advanced algorithms, creating sports analytics applications, and improving administrative processes. As an independent consultant, he collaborates with research labs, government agencies, and start-ups across Europe. He also supports coding education in schools and universities through workshops, lectures, and mentorship programs, inspiring the next generation of software engineers with his expertise and dedication.
