I wouldn't mind a python flavor that has a syntax for tensors/matrices that was a bit less bolted on in parts vs Matlab. You get used to python and numpy's quirks it but it is a bit jarring at first.

Octave has a very nice syntax (it's an extended Matlab's syntax to provide the good parts of numpy broadcasting). I assume Julia uses something very similar to that. I have wanted to work with Julia but it's so frustrating to have to build so much of the non-interesting stuff that just exists in python. And back when I looked into it there didn't seem to be an easy way to just plug Julia into python things and incrementally move over. Like you couldn't swap the numerics and keep with matplotlib things you already had. You had to go learn Julia's ways of plotting and doing everything. It would have been nice if there were an incremental approach.

One thing I am on the fence about is indexing with '()' vs '[]'. In Matlab both function calls and indexing use '()' which is a Fortran style (the ambiguity lets you swap functions for matrices to reduce memory use but that's all possible with '[]' in python) which can sometimes be nice. Anyway if you have something like mojo you're wanting to work directly with indices again and I haven't done that in a long time.

Ultimately I don't think anyone would care if mojo and python just play nicely together with minimal friction. (Think: "hey run this mojo code on these numpy blobs"). If I can build GUIs and interact with the OS and parse files and the interact with web in python to prep data while simultaneously crunching in mojo that seems wonderful.

I just hate that Julia requires immediately learning all the dumb crap that doesn't matter to me. Although it's seeming like LLM seem very good at the dumb crap so some sort of LLM translation for the dumb crap could be another option.

In summary: all mojo actually needs is to be better than numba and cython type things with performance that at least matches C++ and Fortran and the GPU libraries. Once that happens then things like the mojo version of pandas will be developed (and will replace things like polars)