I feel that choosing the language based on how close it is to thinking in maths is putting the cart behind the horse, because in all scientific and applied scie

I feel that choosing the language based on how close it is to thinking in maths is putting the cart behind the horse, because in all scientific and applied scientific code I've seen, the actual math models is something like 10-20% of the code, and the majority is all the data management and plumbing around that; so you should pick the language based on how easy and maintainable the majority of the code will be, which is not the 'mathy' part of it.