numpysane VS mce-cookbook

I used perl and PDL heavily, before moving to Python and numpy. Both have annoying issues, and oddly, their warts are complementary. Particularly, the core API in PDL is miles better than numpy's. Before I could tolerate actually using numpy, I had to write a library to patch away numpy's warts, by effectively writing a PDL compatibility layer. Check it out:

https://github.com/dkogan/numpysane/

Now the core numpy has usable broadcasting, concatenation and basic linear algebra. Kudos to the PDL team for the excellent core design.

Also check out the same guy's numpy library - https://github.com/dkogan/numpysane

Good ideas!

a)

A built-in way would be good. There is some work being explored in using OpenMP with Perl/PDL to get some of that. In the mean time, there is MCE which does distribute across processes and there are examples of using this with PDL <https://github.com/marioroy/mce-cookbook#sharing-perl-data-l...>, but I have not had an opportunity to use it.

b)

Output for a spreadsheet would be difficult if I understand the problem correctly. This would more about creating a mapping of PDL function names to spreadsheet function names --- not all PDL functions exist in spreadsheet languages. It might be possible to embed or do IPC with a Perl interpreter like <https://www.pyxll.com/>, but I don't know about how easy that would be to deploy when distributing to users.

Am I understanding correctly?

Interestingly enough, creating a mapping of PDL functions would be useful for other reasons, so the first part might be possible, but the code might need to be written in a certain way that makes writing the dataflow between cells easier.