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.

Building Data Science Applications with FastAPI is your comprehensive guide to mastering the FastAPI framework to build efficient, reliable data science applications and APIs. You'll explore examples and projects that integrate machine learning models, manage databases, and leverage advanced FastAPI features like asynchronous I/O and WebSockets.