On Thu, Jan 18, 2007 at 06:18:22PM +0000, Matt Knox wrote: > > For 1.1 I would really like to move most of the often-used sub-classes > > of the ndarray to the C-level and merge in functionality from CVXOPT. > > Moving the implementation to the C-level would be awesome. In particular, > __getitem__ and __setitem__ are incredibly slow with masked arrays compared to > ndarrays, so using those inside python loops is basically a really bad idea > currently. You always have to work with the _data and _mask attributes > directly > if you are concerned about performance.
Moving the implementation to the C-level also has its downside. To me, at least, Python code is much more readable and hence easier to maintain. Is there a way that we can implement only the speed-critical methods in C? Cheers Stéfan _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
