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Ray Educational Materials

© 2022, Anyscale Inc. All Rights Reserved

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Welcome to a collection of education materials focused on Ray, a distributed compute framework for scaling your Python and machine learning workloads from a laptop to a cluster.

Recommended Learning Path

Module Description
Overview of Ray An Overview of Ray and entire Ray ecosystem.
Introduction to Ray AI Runtime An Overview of the Ray AI Runtime.
Ray Core: Remote Functions as Tasks Learn how arbitrary functions to be executed asynchronously on separate Python workers.
Ray Core: Remote Objects Learn about objects that can be stored anywhere in a Ray cluster.
Ray Core: Remote Classes as Actors, part 1 Work with stateful actors.
Ray Core: Remote Classes as Actors, part 2 Learn "Tree of Actors" pattern.

Connect with the Ray community

You can learn and get more involved with the Ray community of developers and researchers:

  • Ray documentation
  • Official Ray Website: Browse the ecosystem and use this site as a hub to get the information that you need to get going and building with Ray
  • Join the Community on Slack: Find friends to discuss your new learnings in our Slack space
  • Use the Discussion Board: Ask questions, follow topics, and view announcements on this community forum
  • Join a Meetup Group: Tune in on meet-ups to listen to compelling talks, get to know other users, and meet the team behind Ray
  • Open an Issue: Ray is constantly evolving to improve developer experience. Submit feature requests, bug-reports, and get help via GitHub issues

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