> On 30 Dec 2016, at 20:36, Alex Rogozhnikov <alex.rogozhni...@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 <kikocorre...@gmail.com> написал(а): >> >> >> >> 2016-12-22 17:44 GMT+01:00 Nicolas P. Rougier <nicolas.roug...@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@scipy.org >> https://mail.scipy.org/mailman/listinfo/numpy-discussion >> >> _______________________________________________ >> NumPy-Discussion mailing list >> NumPy-Discussion@scipy.org >> https://mail.scipy.org/mailman/listinfo/numpy-discussion > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > https://mail.scipy.org/mailman/listinfo/numpy-discussion _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org https://mail.scipy.org/mailman/listinfo/numpy-discussion
