Vortrag: Distributed computing with Ray
Find your hyper-parameters, speed up your Pandas pipelines, and much more
In this talk we will explore Ray - a high-performance and low latency distributed execution framework which will allow you to run your Python code on multiple cores, and scale the same code from your laptop to a large cluster.
Ray uses several interesting ideas like actors, fast zero-copy shared-memory object store, or bottom-up scheduling. Moreover, on top of a succinct API, Ray builds tools to your Pandas pipelines faster, tools that find you the best hyper-parameters for your machine learning models, or train state of the art reinforcement learning algorithms, and much more. Come to the talk and learn some more.