Thanks everyone for all the comments! It helped to understand better the advantages/disadvantages of the various options to interact with C.
Jose. --- On Sat 05/17, Bill Spotz < [EMAIL PROTECTED] > wrote: Just to make sure the original question gets answered, yes, numpy.i avoids copies as much as possible. A special case is when your C code provides you with a view of its internal data and does not require any memory to be allocated by the (python) user. This can be dangerous, but if it is your use case, be sure to use the ARGOUTVIEW_* typemaps. Oh, and Brian's description of SWIG is an eminently fair one. AND, if NumPtr is only for Numeric, you should know that Numeric is no longer developed or supported. _______________________________________________ Join Excite! - http://www.excite.com The most personalized portal on the Web! _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
