I am a happy Julia user, but I can imagine if you had a use case where you wanted to compile a binary or shared library, Julia could be a pain.
C++ of course works fine for this but I imagine Swift would be less terrifying to use.
C++ of course works fine for this but I imagine Swift would be less terrifying to use.
https://juliacomputing.com/blog/2016/02/09/static-julia.html https://github.com/JuliaComputing/static-julia https://github.com/JuliaComputing/llvm-cbe
https://github.com/dyu/ffi-overhead
(For those interested, the order of the first few languages is: lua-jit, julia, c(!), c++, zig, nim, d in order of decreasing speed.)
It's extremely well thought out, concise, powerful, and readable. I think Julia's approach to types and multiple dispatch is a better alternative to traditional OO programming.
One thing the author didn't point out is that C++ (clang), Swift, Rust and Julia all use the LLVM infrastructure, resulting in extremely similar if not identical code generation. If datacenter efficiency truly becomes a priority, highly efficient languages like Julia, Rust and Swift will see increasing use for general purpose programming.