I have used MATLAB, R, Python and Julia extensively for doing all sorts of data related things during the last 20 years. Julia is incredibly easy to work with, very elegant and really efficient.

R and Python have always felt clumsy in some ways, and hard to write really performant code, even if you are more proficient in Python! As a seasoned Lisper and MLer, even after having a lot of Python experience in my belt, Julia felt much easier to work with from the very beginning.

Furthermore, most Julia libraries are written in pure Julia which simplifies things a lot and enhances composability. While there are great libraries around, the DL landscape is a bit lacking. Flux is great, but I would not use it to build e.g. transformers as it changes too often and has too few maintainers behind it. Hence a potential migration of Torch to Julia would be fantastic.