Yes, say you’ve got imaging data in 3 (or higher) dimensions as numpy arrays and want to run some sort of algorithm on multiple cores/machines. Could be both for data analytics and simulations.

dask.bag has generic parallel processing capabilities. Query a database, a rest api, something. Then merge into dataframes across dask workers.