On Wed, Feb 17, 2016 at 12:57 PM, Chris Barker <chris.barker@noaa.gov> wrote:
Apparetnly, NumFocus is applyign to be a GSoC Umbrella org as well:
https://github.com/numfocus/gsoc
Not sure why one might choose NumFocus vs PSF...
No reason to choose, you can get students from both orgs.
-Chris
On Wed, Feb 17, 2016 at 6:05 AM, Bryan Van de Ven <bryanv@continuum.io> wrote:
[This is a complete tangent, and so I apologize in advance.]
We are considering applying to GSOC for Bokeh. However, I have zero experience with GSOC, but non-zero questions (e.g. go it alone, vs apply through PSF... I think?) If anyone with experience from the mentoring organization side of things wouldn't mind a quick chat (or a few emails) to answer questions, share your experience, or offer advice, please drop me a line directly.
Thanks,
Bryan
On Feb 17, 2016, at 1:14 AM, Stephan Hoyer <shoyer@gmail.com> wrote:
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-ty...
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
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