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Karau Holden, Lublinsky Boris. Scaling Python with Ray: Exploring Actors, Distributed Data, and Friends in Serverless and Cloud Environments (Early Release)

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Karau Holden, Lublinsky Boris. Scaling Python with Ray: Exploring Actors, Distributed Data, and Friends in Serverless and Cloud Environments (Early Release)
5th Release. — O’Reilly Media, 2023. — 267 p. — ISBN 9781098118808.
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.
What Is Ray?
Getting Started with Ray (Locally)
Ray Remote Functions
Remote Actors
Ray Design Details
Implementing streaming applications
Implementing Microservices
Advanced Data With Ray
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