On Wed, Feb 10, 2016 at 4:22 PM, Chris Barker <chris.barker@noaa.gov> wrote:

We might consider adding "improve duck typing for numpy arrays"

care to elaborate on that one?

I know it come up on here that it would be good to have some code in numpy itself that made it easier to make array-like objects (I.e. do indexing the same way) Is that what you mean?

I was thinking particularly of improving the compatibility of numpy functions (e.g., concatenate) with non-numpy array-like objects, but now that you mention it utilities to make it easier to make array-like objects could also be a good thing.

In any case, I've now elaborated on my thought into a full project idea on the Wiki:

https://github.com/scipy/scipy/wiki/GSoC-2016-project-ideas#improved-duck-typing-support-for-n-dimensional-arrays

Arguably, this might be too difficult for most GSoC students -- the API design questions here are quite contentious. But given that "Pythonic dtypes" is up there as a GSoC proposal still it's in good company.

Cheers,

Stephan