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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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Working with migrations

Database migrations let you version control your database schema and keep it consistent across environments. They also help you automate the deployment of your database changes and track the history of your schema evolution.

The recipe shows you how to use Alembic, a popular tool for managing database migrations in Python. You will learn how to create, run, and roll back migrations and how to integrate them with your ticketing system.

Getting ready

To use the recipe, you need to have alembic in your environment. You can install it with pip, if you didn’t do it with the requirements.txt file from the GitHub repository, by typing this on the command line:

$ pip install alembic

You also need to make sure you have at least one class that corresponds to the table in the database you want to create. If you don’t have one, go back to the Setting up SQLAlchemy recipe and make one. If you’re already running the application, delete the...

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