Stéfan van der Walt <[email protected]> wrote: > Hi everyone > > We'd like to share with you the release of a paper on scikit-image: > > https://peerj.com/articles/453/ > > They say imitation is the sincerest form of flattery, so there's a tip > of the hat to scikit-learn in the title!
Congratulations! I like scikit-image, but the difference between scikit.image and scipy.ndimage sometimes confuses me... Mahotas is a showcase in how C++ should be written. It is C++ written with such beauty and elegance that it's almost a piece of art. C++ has a higher threshold, yes, but very few C++ coders can write C++ with the code quality we see in Mahotas. So it has a double barrier for contributiors. Not that I disapprove of well-written C++ :-) With Cython and Numba improving, there is really no reason to use C++ for a Python image processing toolkit today. Sturla ------------------------------------------------------------------------------ HPCC Systems Open Source Big Data Platform from LexisNexis Risk Solutions Find What Matters Most in Your Big Data with HPCC Systems Open Source. Fast. Scalable. Simple. Ideal for Dirty Data. Leverages Graph Analysis for Fast Processing & Easy Data Exploration http://p.sf.net/sfu/hpccsystems _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
