And I did not claim any of those. Btw. a typical feedback loop for many of the compiled languages is 100ms (for example ReasonML).
My main problem with interpreted languages is the duality of their implementation. Especially Python suffers from this, the high-performance part of the language is in C, C++, Fortran. When you install a package you get all of the problems of those languages on the top the Python problems (versions, environments, installed libraries, etc.).
What I would like to have is the Rust way, compile the code on any platform and target any other platform, configuring even the libc that you want to use. OcaML also works very nicely, compiling the code to native or byte code.
I think the detour to interpreted languages set us back in the long run.
My main problem with interpreted languages is the duality of their implementation. Especially Python suffers from this, the high-performance part of the language is in C, C++, Fortran. When you install a package you get all of the problems of those languages on the top the Python problems (versions, environments, installed libraries, etc.).
What I would like to have is the Rust way, compile the code on any platform and target any other platform, configuring even the libc that you want to use. OcaML also works very nicely, compiling the code to native or byte code.
I think the detour to interpreted languages set us back in the long run.