Voron, François

Building Data Science - Applications with FastAPI: - Develop, manage, and deploy - efficient machine learning - applications with Python

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ISBN 13:
9781801079211
author:
Voron, François
format:
Paperback
publisher:
Packt Publishing
language:
English
Publication Year:
2021
Pages:
426
Dimensions:
23.5 x 19.1 x 2.2 centimetres (0
Genre:
Computers, Programming, Python,
Condition:
New
supplier_id:
35
Availability:
Item usually sent within 7 working days
£51.88

Description

Building Data Science Applications with FastAPI FastAPI is a web framework for building APIs with Python 3.6 and its later versions based on standard Python-type hints. This book provides practical examples to create fast and reliable data science API backends. You'll learn about the basics of the FastAPI framework, including asynchronous programming, type hinting, and dependency injection, as well as how to build efficient RESTful APIs for data science with modern Python. The book also covers best practices relating to testing and deployment to run a high-quality and robust application, and introduces you to the extensive ecosystem of Python data science packages. As you progress, you'll learn how to develop fast and efficient machine learning prediction backends and test them to achieve the best performance, including implementing a real-time face detection system using WebSockets.

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