Use case for dask to spread model execution across machines
I’d like to know if this is a good use case for dask and how to implement it.
Use case for dask to spread model execution across machines
I’d like to know if this is a good use case for dask and how to implement it.
Default n_workers when creating a Dask cluster?
Simple question. If I create a Dask cluster using the following code:
Setting DataFrame Divisions with Query Expressions
I think it’s pretty clear to me why ddf.divisions = <some_divisions> is no longer supported but what is not clear to me is how i can efficiently do this now. Any thoughts?