Nrpf

Its also for general programming.

What do you think about Julia?

Julia

Looking forward. I was about to embark with python on a new long term project, but I might delay that pending the new blog post. If possible do you have a guestimate on what sort of time window we are looking at for this blogpost? Days, weeks, month?

Type unstable Julia is often slower than python.

Actually no. Naive Julia is often slower than python. Vectorized Array expressions are on par with numpy and slower than numba.

"type unstable", IO and text processing code is also slower.

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

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?

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.

no its not. Rcpp is cpp syntax and semantics. Look at the Numba example..its pure python with one decorator.

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.

Right now, numba is a better compiler than Julia has. You can write array expressions and loops in numba and it will do fusion/deforestation to eliminate temporaries giving you faster vectorized in loop code than Julia currently does.

Of course, this is currently being worked on in julia as well, but I don't see your point.