Scaling Python with Ray: Adventures in Cloud and Serverless Patterns by Holden Karau
Requirements: .ePUB, .PDF reader, 6 MB
Overview: 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, experienced software architecture practitioners Holden Karau and Boris Lublinsky show you how to scale existing Python applications and pipelines, allowing you to stay in the Python ecosystem while reducing single points of failure and manual scheduling. 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.
Genre: Non-Fiction > Tech & Devices
Download Instructions:
https://ouo.io/3bDeCF
https://ouo.io/lMzTI3C
