For me, as a Scipy/Flask/Postgres user it would be about completing the stack. Python’s great but for core things I’d love to have an ML-inspired alternative that’s even half as convenient. I watch this space with great interest.
A great choice of companion language to your Python stack would be Nim: https://nim-lang.org/ (not necessarily ML-inspired) but extremely productive and extremely fast. Bonus, v1.0 is right around the corner for Nim. If you're willing to venture out to a place with an evolving scientific ecosystem, Nim is a great choice to do scientific computing as part of a CPython stack (easy integration both ways since Nim compiles to both C/C++).
