On Thu, Mar 5, 2020 at 2:15 PM Gregory Lee <grle...@gmail.com> wrote:
> If i can get a link to a file that shows how dunder methods help with >> having cool coding APIs that would be great! >> >> > You may want to take a look at PEP 465 as an example, then. If I recall > correctly, the __matmul__ method described in it was added to the standard > library largely with NumPy in mind. > https://www.python.org/dev/peps/pep-0465/ > and so were "rich comparisons", and in-place operators (at least in part). numpy is VERY, VERY, heavily built on the concept of overloading operators, i.e. using dunders or magic methods. I'm going to venture a guess that numpy arrays custom define every single standard dunder -- and certainly most of them. -CHB > On Thu, Mar 5, 2020 at 10:32 PM Sebastian Berg <sebast...@sipsolutions.net> >> wrote: >> >>> Hi, >>> >>> On Thu, 2020-03-05 at 11:14 +0400, Abdur-Rahmaan Janhangeer wrote: >>> > Greetings list, >>> > >>> > I have a talk about dunder methods in Python >>> > >>> > ( >>> > >>> https://conference.mscc.mu/speaker/67604187-57c3-4be6-987c-ea4bef388ad3 >>> > ) >>> > >>> > and it would be nice to include Numpy in the mix. Can someone point >>> > me to one or two use cases / file link where dunder methods help >>> > numpy? >>> > >>> >>> I am not sure in what sense you are looking for. NumPy has its own set >>> of dunder methods (some of which should not be used super much >>> probably), like `__array__`, `__array_interface__`, `__array_ufunc__`, >>> `__array_function__`, `__array_finalize__`, ... >>> So we are using `__array_*__` for numpy related dunders. >>> >>> Of course we use most Python defined dunders, but I am not sure that >>> you are looking for that? >>> >>> Best, >>> >>> Sebastian >>> >>> >>> > Thanks >>> > >>> > fun info: i am a tiny numpy contributor with a one line merge. >>> > _______________________________________________ >>> > NumPy-Discussion mailing list >>> > NumPy-Discussion@python.org >>> > https://mail.python.org/mailman/listinfo/numpy-discussion >>> _______________________________________________ >>> NumPy-Discussion mailing list >>> NumPy-Discussion@python.org >>> https://mail.python.org/mailman/listinfo/numpy-discussion >>> >> _______________________________________________ >> NumPy-Discussion mailing list >> NumPy-Discussion@python.org >> https://mail.python.org/mailman/listinfo/numpy-discussion >> > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@python.org > https://mail.python.org/mailman/listinfo/numpy-discussion > -- Christopher Barker, Ph.D. Oceanographer Emergency Response Division NOAA/NOS/OR&R (206) 526-6959 voice 7600 Sand Point Way NE (206) 526-6329 fax Seattle, WA 98115 (206) 526-6317 main reception chris.bar...@noaa.gov
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