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FastAPI Cookbook

FastAPI Cookbook

By : Giunio De Luca
4.3 (4)
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FastAPI Cookbook

FastAPI Cookbook

4.3 (4)
By: Giunio De Luca

Overview of this book

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.
Table of Contents (15 chapters)
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Debugging techniques

Mastering debugging application development is crucial for identifying and fixing issues efficiently. This recipe delves into the practical use of the debugger, leveraging tools and strategies to pinpoint problems in your FastAPI code.

Getting ready

All you need to do to apply the recipe is to have a running application. We can keep on working with our protoapp.

How to do it...

The Python distribution already comes with a default debugger called pdb. If you use an integrated development environment (IDE), it usually comes with an editor distribution debugger. Whatever you are using to debug your code, you must be familiar with the concept of breakpoints.

A breakpoint is a point within the code that pauses the execution and shows you the state of the code variables and calls. It can be attached with a condition that, if satisfied, activate it or skips otherwise.

Whether you are using the Python distribution debugger pdb or the one provided by your...

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