A Comparison of Futhark and Dex

&gt; Dex authors have a background of being frustrated with NumPy-style programming<p>It seems to happen that up and coming people look at the convenience that is NumPy and decide they can do better. This is cool, since without such an attitude, NumPy wouldn’t exist. I still think it’s hard to beat NumPy for all its faults, if you marginalize over the broad spectrum of scientific computing and data science.

A comparison most people likely won’t make in the near future. I think the challenge with a new array programming is striking the right balance between added complexity and capability. If someone is using numba or Julia, what’s going to incentivize them to use Futhark or Dex?

Have just been &#x27;going deep&#x27; into type theory + FP + ML from a data science perspective, definitely interesting to hear about Dex here since alot of data science use found in the wild is based around numpy ndarrays &amp; associated tools &amp; easy&#x2F;quick ways to do multidimensional numerics is a pretty &#x27;core&#x27; requirement for heavy-duty number crunching.. having this as a built-in using ML types for indexing would be pretty ideal i think..<p>Anyone have any perspective to share about ML-family languages in the domain of what we&#x27;re calling &#x27;data science&#x27; these days?