[cjf4]

If you take the thread's stated pros (low barrier to entry, experimental scripting workflow) and cons ([not] fast, compilable, no GIL) at face value, it's interesting evidence for what really matters compared to what needs to be merely acceptable for a ML language.

The thing neither of them list which is absolutely enormous is the breadth and quality of boring general purpose stuff in Python. It's a big deal that you can write a production grade web app or api in the same language you do modeling work in.