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Evaluating Ray: Distributed Python for Massive Scalability

Domino Data Lab

Dean Wampler provides a distilled overview of Ray, an open source system for scaling Python systems from single machines to large clusters. If you are interested in additional insights, register for the upcoming Ray Summit. If you want a more in-depth technical introduction to Ray, see ?this Introduction.

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Ray for Data Science: Distributed Python tasks at scale

Domino Data Lab

Editors Note: This article was originally posted on Patterson Consulting’s blog and can be found at [link] and has been republished with permission. Why Do We Need Ray? However, much of the load can be partitioned into smaller tasks and distributed over a large cluster. Suppose we want to implement a simple DNS server.