Scaling Python with Ray

Scaling Python with Ray

EnglishPaperback / softback
Karau Holden
O'Reilly Media
EAN: 9781098118808
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Detailed information

Serverless computing enables developers to concentrate solely on their applications rather than worry about where they've been deployed. With the Ray general-purpose serverless implementation in Python, programmers and data scientists can hide servers, implement stateful applications, support direct communication between tasks, and access hardware accelerators. In this book, authors Holden Karau and Boris Lublinsky show you how to scale existing Python applications and pipelines, allowing you to stay in the Python ecosystem while avoiding single points of failure and manual scheduling.

If your data processing has grown beyond what a single computer can handle, this book is for you. Written by experienced software architecture practitioners, Scaling Python with Ray is ideal for software architects and developers eager to explore successful case studies and learn more about decision and measurement effectiveness. This book covers distributed processing (the pure Python implementation of serverless) and shows you how to:Implement stateful applications with Ray actorsBuild workflow management in RayUse Ray as a unified platform for batch and streamingImplement advanced data processing with RayApply microservices with Ray platformImplement reliable Ray applications

EAN 9781098118808
ISBN 1098118804
Binding Paperback / softback
Publisher O'Reilly Media
Publication date December 13, 2022
Pages 250
Language English
Dimensions 233 x 178
Country United States
Readership Technical / Manuals
Authors Karau Holden; Lublinsky Boris

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