why do you presume that's what the GP meant? your post is much more detailed than his anyway, i know very well that julia has a great standard numerical librar

why do you presume that's what the GP meant? your post is much more detailed than his anyway, i know very well that julia has a great standard numerical library. it is a language catered to that community so it better have a rich standard library. my point is that functionality does not need to in the standard library in order to be useful or impactful. i don't think i need to prove my point but take numpy (or any other famous numerical package from the python ecosystem) as an example >Second of all, CUDA.jl is a very weird thing to point to for your example i work in machine learning so it is a very important package for me > If compiling to LLVM is a 'wrapper around C++ code' then all julia code is that and CL is not. point is that you need to learn LLVM in order to dig deeper, if you so wish