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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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Setting up SQL databases

In the world of data handling, the power of Python meets the efficiency of SQL databases. This recipe aims to introduce you to how to integrate SQL databases within your application, a crucial skill for any developer looking to build robust and scalable web applications.

SQL is the standard language for managing and manipulating relational databases. When combined with FastAPI, it unlocks a world of possibilities in data storage and retrieval.

FastAPI’s compatibility with SQL databases is facilitated through ORMs. The most popular one is SQLAlchemy. We will focus on it in this recipe.

Getting ready

To begin, you’ll need to have FastAPI and SQLAlchemy installed in your virtual environment. If you followed the steps in Chapter 1, First Steps with FastAPI, you should have FastAPI already set up. For SQLAlchemy, a simple pip command is all that’s needed:

$ pip install sqlalchemy

Once installed, the next step is to configure...

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