On Wed, Feb 10, 2016 at 4:22 PM, Chris Barker <chris.bar...@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
_______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org https://mail.scipy.org/mailman/listinfo/numpy-discussion
