IMO if you're working with large, multi-dimensional arrays and seamless parallelization (shared or distributed memory) is a plus, I've yet to see a language or

IMO if you're working with large, multi-dimensional arrays and seamless parallelization (shared or distributed memory) is a plus, I've yet to see a language or framework do it with less effort. Speaking as a long-time numpy user and fan here. :) For an example of use in production, my business [0] is built around running ~1M lines of parallel Fortran (public domain code) in the cloud. There are many many other uses but tend to be less visible -- under the hood of other software, banking systems, many DOE and DOD projects etc. [0] https://cloudrun.co https://cloudrun.co