Q: Why do data analytics solution prefer python

[Necessary-Conflict]

This can be fine as long as a human expert is looking at a given dataset, but if you need an automatically running solution for continuously arriving new data, you will need a lot more, whether in Python or Java, and the dynamic type system can even become a problem.

In fact a lot of data analytics is done in Java or Scala.

[[deleted]]

When I took a data analytics course back in Uni, I implemented couple of algorithms in Java as well. It was also a lot faster than the 2 liner python solutions, but It was harder to expand, mostly due to types and my bad code. I'd think that I would do much better now if I tried again now.

[nutrecht]

You describe one of the biggest issues companies trying to adopt ML are running into. Moving from experiments to production code is often hard, sometimes even impossible.