GPU vendor-agnostic fluid dynamics solver in Julia
As a card carrying python-stack scientist who works at the intersection of machine learning and physical sciences for the last decade who now is working on an R package (pro-tip: go where the money is don't bring the money to you), can someone make a convincing argument for me to learn Julia? I would like to hear more than the typical "the code auto-differentiates" or "it's faster" or whatever it is that people have said in the past. I am really not trying to be flippant I just don't see the added value of learning a new language unless it has interesting packages/functionality that my current toolset does not (e.g., this is why I am working on an R package).