@smranaldi Coming from #Python and #JuliaLang, I was annoyed at first by things like
1 + 1.0
which does not compile. You have to cast often, but you understand after a while why this is important to prevent any surprises!
I missed Arrays in Julia (multidimensional). I needed a matrix but felt like it would be an overkill to use #ndarray for it. So I wrote my small matrix for fun. It was not hard! Next time I will try #ndarray if I need multidimensional arrays more often.
2/4
https://github.com/termoshtt/einsum-derive
#proc_macro based #einsum implementation for #rust #ndarray
#ndarray #rust #einsum #proc_macro
https://github.com/termoshtt/einsum-derive
#proc_macro based #einsum implementation for #rust #ndarray
#ndarray #rust #einsum #proc_macro
@smranaldi I have used Julia and would recommend it for this field. But I wanted to try Rust for numerical computations very soon. Check out #polars, #ndarray and #plotters.