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Scaling Python with Ray
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…
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Scaling Python with Ray
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…
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Scaling Python with Ray
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…
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14- titleScaling Python with Ray by Holden Karau & Boris Lublinsky on Apple Books
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39- https://books.apple.com/us/author/boris-lublinsky/id442533738
- https://books.apple.com/us/author/holden-karau/id731739540
- https://books.apple.com/us/book/distributed-and-parallel-systems/id484496274
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- https://books.apple.com/us/book/fast-data-processing-with-spark-second-edition/id982217475