November 2022
Intermediate to advanced
266 pages
6h 14m
English
Content preview from Scaling Python with RayBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Index
Symbols
- @numba.jit, Higher-Level Libraries
- @ray.remote, Creating a Basic Ray Remote Actor, Creating a Basic Ray Remote Actor, Creating a Basic Ray Remote Actor
- @serve.deployment, Deployment
- @virtual_actor, Virtual Actors
- @workflow.step, Workflow Primitives, Building Workflows
A
- accelerators, Using GPUs and Accelerators with Ray
- (see also GPUs)
- with autoscaler, Autoscaler with GPUs and Accelerators-Autoscaler with GPUs and Accelerators
- non-GPU, Other (Non-GPU) Accelerators
- requesting and releasing resources, Acquiring and Releasing GPU and Accelerator Resources-Acquiring and Releasing GPU and Accelerator Resources
- actor frameworks, Where Does It Fit in the Ecosystem?
- actor model, Understanding the Actor Model-Understanding the Actor Model
- actor pool, scaling with, Scaling Ray Remote Actors-Scaling Ray Remote Actors
- actors (see remote actors; virtual actors)
- aggregations
- in Dask, Aggregations-Aggregations
- on datasets, Data Hello World-Data Hello World
- with GroupedDataset, Using Built-in Ray Dataset Operations
- Airflow, Workflow Scheduling
- Amazon Web Services (AWS), installing Ray, Installing Ray on AWS-Installing Ray on AWS
- AMD, ROCm library, The Building Blocks
- annotations, adding parameters to, Adding parameters to annotations-Resource requirements for deployments
- Apache Airflow, Workflow Scheduling
- Apache Arrow
- components of, Creating and Saving Ray Datasets
- Datasets API, Data Hello World
- serialization with, Apache Arrow
- Apache Camel, Going Beyond Kafka
- Apache Kafka
- APIs, Kafka APIs-Kafka APIs
- explained ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.