Python has a huge library ecosystem and the average Machine Learning programmer is not a CS geek and so prefers pythonic quasi-OOO then over FP (one of the hurdles for JAX adoption is it's functional paradigm)
The claim was that Python is better suited to writing such libs and frameworks than other languages.
You now say it's like that because Python has already quite some libs / frameworks in that direction.
This looks like circular reasoning.
Also the the "prototypical ML dude" comes form the math department. People with math background have a much easier time to grasp FP than procedural programming. FP is much more "natural" when you're used to math.
(Procedural programming says things like `x = x + 1`, but even my grandma would know that "this has no solution", or is likewise "plain wrong" ;-))
You now say it's like that because Python has already quite some libs / frameworks in that direction.
This looks like circular reasoning.
Also the the "prototypical ML dude" comes form the math department. People with math background have a much easier time to grasp FP than procedural programming. FP is much more "natural" when you're used to math.
(Procedural programming says things like `x = x + 1`, but even my grandma would know that "this has no solution", or is likewise "plain wrong" ;-))