[Nrpf]

Julia also requires subsets of the language. Try writing rolled array expressions (in a loop or otherwise) in Julia and in Numba and see which one is faster.

Also try IO or text processing in Julia. Python is known to be faster right now.

[pjmlp]

> Also try IO or text processing in Julia. Python is known to be faster right now.

Back when I used Python (early 2000's), that was actually C code, if I remember correctly.

The question is with IO and text processing implemented in pure Julia and pure Python, except for the OS FFI, which JIT compiler provides the best implementation?

[tavert]

Counterpoint - try user-defined types (classes) in Numba.

[Nrpf]

User defined types/classes are currently being worked on in an open PR. Excellent counterpoint for the time being, though.

Aside- Do you know if multiple inheritance/traits will happen at some point? I need this for modeling, even though it can be worked around for general software architecture.

[tavert]

Likely. There's some recent discussion at https://github.com/JuliaLang/julia/issues/6975#issuecomment-... regarding taking inspiration from Clojure's protocols. There are a few different Traits and Interfaces packages floating around showing proof-of-concept implementations. Couldn't give you a timeline on when it'll make it into master, but it should happen.

[Nrpf]

Thanks. The link seemed still to be single inheritance focus (sorry, I don't know the right terminology I come from a OO background.) but I could be wrong. Though I did get the sense that its just a interim step towards multi inheritance.

What about the dataframe and stats infrastructure? its currently in shambles. Any Idea when this can be expected to be fixed?

[tavert]

Stats and dataframes now has someone working full time on it. It will get appreciably better soon.

[Nrpf]

Very glad to hear that. Anywhere roadmap/ central place where I can contribute and follow progress?