rax

I agree about the value of the article. I guess I got tilted as I was hoping for another good, more fresh, post of similar quality!

Using the Optimize kewarg is a must for any summation involving a few inputs, which is why I brought it up. It is one of the things which is not discussed in a post from 2016.

This is a reasonable resource, which I have consulted before, but it's from 2016 so the title should be updated.

OptEinsum is also worth checking out if you use Einsum a lot, it has additional features to what is in Numpy.

It looks quite nice, and I will have to explore the performance comparisons with Dask more.

I have recently started using Xarray for some projects, and really appreciate the usability of multidimensional labelled data. Are the memory mapping techniques used for speedup here only applicable to tabular data?

The support for Apache arrow is quite nice. Have you considered any other formats, such as Zarr?