Carefully curated by recognized experts in Python, this new edition focuses on version 3.10, bringing this seminal work on the Python language fully up to date on five version releases, including preview coverage of upcoming 3.11 features.

With various types of code samples throughout, this book is intended to reach an international audience of readers with highly diverse backgrounds in various age groups, and aims to provide you with as much relevant information about Python and machine learning as possible.

Equipped with practical examples along with code snippets, this step-by-step guide uses a hands-on case study-based approach to crack real-world applications to which machine learning concepts can be applied.

This comprehensive guide to FastAPI walks readers through developing modern web backends optimized for data science applications. By mastering key concepts like dependency injection and asynchronous programming, you will create high-performing REST APIs and machine learning powered systems.