[Numpy-discussion] Good use of __dunder__ methods in numpy
Abdur-Rahmaan Janhangeer
arj.python at gmail.com
Tue Mar 24 04:37:24 EDT 2020
Thanks for info!
Kind Regards,
Abdur-Rahmaan Janhangeer
compileralchemy.com <https://www.compileralchemy.com> | github
<https://github.com/Abdur-rahmaanJ/>
Mauritius
On Mon, Mar 23, 2020 at 10:56 PM Chris Barker <chris.barker at noaa.gov> wrote:
> On Thu, Mar 5, 2020 at 2:15 PM Gregory Lee <grlee77 at 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 <
>>> sebastian at 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.
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>
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