Efficient loading of many datasets #2
Description
When I did a for loop + .load() on my scipy presentation I noticed that there are discernible gaps in the dask stream which indicate to me that the graph setup is happening for each datasets separately.
I wonder if datatree could just 'append' each computation to a graph and then execute that large graph to be more efficient?
Related to xarray-contrib/datatree#97