This is an introductory and hands-on guided tutorial of Ray Core that covers an introductory and hands-on coding tour through the core features of Ray 2.0, which provides powerful yet easy-to-use design patterns for scaling compute and implementing distributed systems in Python. This tutorial includes a brief talk to give an overview of concepts, why and what Ray is, and how you write distributed Python applications and scale machine learning workloads.
Setup instructions for your laptop
To avoid wasting time doing it in class, please set up your laptops before coming to class.
If you want to follow along and have hands-on experience, please follow instructions on how to set up your laptop with Ray.
https://github.com/dmatrix/ray-core-tutorial#-setup-instructions-for-local-laptop-
