Daniel Fetchinson wrote:
I have considered using ctypes but for my needs using the C API directly seems more reasonable. array.array and numpy.array doesn't fit my needs since I need to do long and complicated operations on the two (pretty large) integer arrays that would be too slow using array.array and numpy.array (I've verified this claim by benchmarking a numpy.array based solution).
OK, but if you go to array.array or numpy.array or ctypes, you can create a uniformly typed (C datatype) array , which is the key to getting any speed out of the deal. If you insist on using python lists, you are stuck with extracting data element by element from its Python language wrap. --Scott David Daniels scott.dani...@acm.org -- http://mail.python.org/mailman/listinfo/python-list
