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.
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.