How do I configure a Dask cluster for optimal performance?

How do I configure a Dask cluster for optimal performance?

To configure a Dask cluster for optimal performance, you should consider the number of workers, memory limits, and the type of scheduler you use. What specific use case do you have in mind?

I'm working with large datasets for machine learning.

For large datasets, it's crucial to balance the number of workers with the available memory. You might want to start with a worker per core and adjust based on your workload. Have you set up your Dask environment yet?

Yes, I have Dask installed. What about the scheduler?

Using the distributed scheduler is recommended for better performance with large datasets. It allows for dynamic scaling and efficient task management. Would you like guidance on how to set it up?

Yes, please provide the steps to set up the distributed scheduler.