I'd like to tag the tree and make a NumPy 1.0.4 release tomorrow. Is there anything that needs to be done before that can happen?
I'd also like to get another release of SciPy out the door as soon as possible. At the end of this week or early next week. I've added a bunch of 1-d classic spline interpolation algorithms (not the fast B-spline versions but the basic flexible algorithms of order 2, 3, 4, and 5 which have different boundary conditions). There are several ways to get at them in scipy.interpolate. I've also added my own "smoothest" algorithm which specifies the extra degrees of freedom available in spline formulations by making the resulting Kth-order spline have the smallest Kth-order derivative discontinuity. I've never seen this described by anyone but I'm sure somebody must have done discussed it before. If anybody knows something about splines who recalls seeing something like this, I would appreciate a reference. This specification actually allows very decent looking quadratic (2nd-order) splines. Best regards, -Travis _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion