Erik Johnson wrote: > I am just starting to explore doing some scientific type data analysis > using Python, and am a little confused by the different incarnations of > modules (e.g., try Google("Python numeric"). > > There is SciPy, NumPy, NumArray, Numeric... I know some of these are > related and some are separate, some are oudated, etc. but can someone sort > of give a general run-down in layman's terms of what's what, what's used for > what, what depends on what, and what's current?
http://www.scipy.org/History_of_SciPy numpy is the current array package and supercedes Numeric and numarray. scipy provides a bunch of computational routines (linear algebra, optimization, statistics, signal processing, etc.) built on top of numpy. -- Robert Kern "I have come to believe that the whole world is an enigma, a harmless enigma that is made terrible by our own mad attempt to interpret it as though it had an underlying truth." -- Umberto Eco -- http://mail.python.org/mailman/listinfo/python-list