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. > 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 > <mailto: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/ > <http://www.labri.fr/perso/nrougier/from-python-to-numpy/> > Sources are available at: https://github.com/rougier/from-python-to-numpy > <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 <mailto:NumPy-Discussion@scipy.org> > https://mail.scipy.org/mailman/listinfo/numpy-discussion > <https://mail.scipy.org/mailman/listinfo/numpy-discussion> > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > https://mail.scipy.org/mailman/listinfo/numpy-discussion
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