Earlier quoted context omitted.
It's been a while since I wanted something in Go that wasn't available, other than the obvious big-ticket items like NumPy which are ecosystems unto themselves. (Or, to put it another way, yeah, Go doesn't have NumPy, but neither does anybody else other than Python at this point.) YMMV, of course, but it's certainly not a routine occurrence.
If I understand correctly, numpy at least originally was a wrapper around some Fortran libraries. So you could get the same functionality and performance in Fortran. Am I missing something? Is there some way in which numpy is superior to, say, Linpack (other than not having to use Fortran to call it)? Is there anything unique about Python that enables this approach? Couldn't Go, say, do the same thing? Or C++?
C++ could give you equal or better performance, but it's not anywhere near as friendly to beginners as Python. Plus, the value of REPL-based programming for prototypes and experimentation is hard to overstate.