The Julia programming language which is gaining a lot of popularity in scientific computation has in fact multidimensional arrays which are very efficient. The

The Julia programming language which is gaining a lot of popularity in scientific computation has in fact multidimensional arrays which are very efficient. The whole idea of Julia is to be comparable to C and Fortran in speed while having the ease of development of Python. I'd dabbled in Go and Rust as well but don't see them as serious competition to Julia in this space. As much as I love Go, it is really poorly suited for numerical computing. No operator overloading of any sort among other things. You really want that for vector based math. Also Rust, seems like more of a language for software developer professionals. I think Rust looks neat, but it is too complicated for scientists I think. They don't want to focus that much on their language. In this respect I'd actually think Swift has more appeal as it is quite fast, but easier to use. By easy, I mean there are fewer concepts to learn. But Swift will have the same problems as Go and Rust, in that it is not being designed with the needs of people doing scientific computing in mind. That is what is nice with Julia. Out of the box it does so many of the things you want. Right out of the box without explicitly importing anything you can start doing advance matrix operations, load large CSV files, groks imaginary numbers. It actually has a number system which distinguishes between rational and irrational numbers e.g.