José Fonseca <j_r_fonseca@yahoo.co.uk> writes:
With the ability of subclassing types in recent versions of the Python language, more people will be interested in subclassing Numeric arrays for specific purposes. Still the use of functions instead of methods takes away many of the advantages, the ability of being overloaded.
True. On the other hand, there is also an advantage: NumPy routines can be used on standard Python data types such as number and sequence types. In the ideal world (which might come one day), core NumPy functionality would be part of standard Python, and then all these operations would work on other built-in types as well. Until then, I am not sure that changing NumPy functions to methods is a good idea. I need to call them on scalar numbers much more often than I subclass arrays. Konrad. -- ------------------------------------------------------------------------------- Konrad Hinsen | E-Mail: hinsen@cnrs-orleans.fr Centre de Biophysique Moleculaire (CNRS) | Tel.: +33-2.38.25.56.24 Rue Charles Sadron | Fax: +33-2.38.63.15.17 45071 Orleans Cedex 2 | Deutsch/Esperanto/English/ France | Nederlands/Francais -------------------------------------------------------------------------------