My point with math is not that this only applies to fundamentally math like things but that these languages do for programming what the math notation does for math problems for me. "if i am thinking about any problem, its outside the scope of any programming language in the first place" yes I felt this way too before I learned an array language. Sorry that was a rude way to put that but I do genuinely mean that. Array languages help me solve problems I wouldn't know how to solve otherwise. that python code looks suspiciously full of symbols and one character variable names :). Maybe it would be easier like this: all(exes modulo index not equal zero for index in range(two, ex)).
one of the biggest differences between the k way and the python way too is actually limitation. in practice python has a bunch of stuff that doesnt fit too well together necessarily but that you can put together to make whatever you want often without much knowledge underlying what youre using (like how one can make a neural network with no linear algebra knoweldge) in the array languages you have a set vocablary and only a few ways of putting them together such that you become fluent with the whole languages and you brain starts to just put whole correct functions or programs together in the way one might do with a natural language you know well. Its a great exprience and it changes how you think. HOWEVER, I wont pretend for a second this does not come at a cost. The real power comes from fluent use of a small vocabulary meaning you dont get the immediacy of libraries, IO has to be dealt with by the programmer more so than in languages where you have alot of help form libarires and frankly non algorithmic code in these languages can be really funky and rarely as good. Unless you are writing very algorithmically intense stuff imo array langagues are best suited to embedded use in another language or not at all. For you and for most people I think things like the python you've shown there works plenty well enough.
If I am thinking about any problem, its outside the scope of any programming language in the first place. My point is, modern functions already make array manipulations simple enough. Even if you're doing something like coding LLMs from scratch, numpy, list concatenations, list comprehension, lambdas, stream/map/reduce all exist and its not nearly an issue to implement them, as is the case for writing assembly vs python.
The prime example in python for example looks like this: all(x % i != 0 for i in range(2, x)) This pretty much does the same operations in the same order on the same fundamental data structure, so I just don't see what's fundmenetally different about the Klong way of thinking.
Anyway, I don't mean to argue, if it works for you great, I wish I had something new