Hi all, I want to use the current need for a Levenberg-Marquardt least squares fitting procedure for my long term desire to dive into scientific libraries for python. However, I am always confused by the shear sheer variety of available packages and the fact that some of them (Numeric, Numarray) seem to be outdated.
http://wiki.python.org/moin/NumericAndScientific gives a nice overview of the most popular packages. According to this listing, ScientificPython and PyDSTool seem most appropriate for what I generally work on (simulations of dynamical systems and data analysis). Before I start to dive into one of these packages (I would go for ScientificPython from what I know so far), I want to ask about your experiences. Is there a good reason to choose one instead of the other? Or do they even work together, in the sense that I can use PyDSTool to generate data to be later analyzed by ScientifPython without much timeconsuming conversion a.s.o. in between? Thanks for any suggestions! - harold - -- http://mail.python.org/mailman/listinfo/python-list
