I really think that Mathematica and Matlab failed to capitalize on the rise of AI and ML in the last decade. Seems like Python is the only go-to language these fields.
It's a winner-take-it-all situation, though. R is already struggling as a strong second-placer.
What's more: the numerics stack in JavaScript is being modeled after the Python style, so when we're all dragged kicking and screaming to node (UMAP is already implemented in js and that came out when?), those who have cut their teeth on numpy and pandas will be a little less stranded.
Yes and No. If you ignore Python being a powerhouse in the scripting world and just focus on numerical stuff like matrix and symbolic math, both Python and Mathematica have that. Some people like myself that love Python and know how to use it and Numpy bought Mathematica licenses. I still use Python for scripting, but I've moved most exploratory work to Mathematica. I miss Python's Spyder IDE, but with Mathematica I can enter equations into Notebooks much more elegantly than having to do OO code which looks significantly different than the math.