[Numpy-discussion] From Python to Numpy

Nicolas P. Rougier Nicolas.Rougier at inria.fr
Fri Dec 30 17:09:37 EST 2016


> On 30 Dec 2016, at 20:36, Alex Rogozhnikov <alex.rogozhnikov at yandex.ru> wrote:
> 
> Hi Nicolas, 
> that's a very nice work!
> 
>> Comments/questions/fixes/ideas are of course welcome.
> 
> Boids example brought my attention too, some comments on it:
> - I find using complex numbers here very natural, this should speed up things and also shorten the code (rotating without einsum, etc.)
> - you probably can speed up things with going to sparse arrays 
> - and you can go to really large numbers of 'birds' if you combine it with preliminary splitting of space into squares, thus analyze only birds from close squares
> 
> Also I think worth adding some operations with HSV / HSL color spaces as those can be visualized easily e.g. on some photo.
> 
> Thanks,
> Alex.


Thanks.

I'm not sure to know how to use complex with this example. Could you elaborate ?

For the preliminary splitting, a quadtree (scipy KDTree) could also help a lot but I wanted to stick to numpy only.
A simpler square splitting as you suggest could make thing faster but require some work. I'm not sure yet I see how to restrict analysis to close squares.

Nicolas


> 
> 
> 
>> 23 дек. 2016 г., в 12:14, Kiko <kikocorreoso at gmail.com> написал(а):
>> 
>> 
>> 
>> 2016-12-22 17:44 GMT+01:00 Nicolas P. Rougier <Nicolas.Rougier at inria.fr>:
>> 
>> Dear all,
>> 
>> I've just put online a (kind of) book on Numpy and more specifically about vectorization methods. It's not yet finished, has not been reviewed and it's a bit rough around the edges. But I think there are some material that can be interesting. I'm specifically happy with the boids example that show a nice combination of numpy and matplotlib strengths.
>> 
>> Book is online at: http://www.labri.fr/perso/nrougier/from-python-to-numpy/
>> Sources are available at: https://github.com/rougier/from-python-to-numpy
>> 
>> 
>> Comments/questions/fixes/ideas are of course welcome.
>> 
>> Wow!!! Beautiful.
>> 
>> Thanks for sharing.
>>  
>> 
>> 
>> Nicolas
>> _______________________________________________
>> NumPy-Discussion mailing list
>> NumPy-Discussion at scipy.org
>> https://mail.scipy.org/mailman/listinfo/numpy-discussion
>> 
>> _______________________________________________
>> NumPy-Discussion mailing list
>> NumPy-Discussion at scipy.org
>> https://mail.scipy.org/mailman/listinfo/numpy-discussion
> 
> _______________________________________________
> NumPy-Discussion mailing list
> NumPy-Discussion at scipy.org
> https://mail.scipy.org/mailman/listinfo/numpy-discussion




More information about the NumPy-Discussion mailing list