Den 11.06.2010 09:14, skrev Sebastien Binet: > it of course depends on the granularity at which you wrap and use > numpy-core but tight loops calling ctypes ain't gonna be pretty > performance-wise. >
Tight loops in Python are never pretty. The purpose of vectorization with NumPy is to avoid tight Python loops. > I really think using cython would be a better option. > one'd get the python2<-> python3 transition for "free". > > Perhaps. Cython has nice syntax for PEP 3118 buffers. But there are downsides to this: - Cython is not C. We want the core to be a C library independent of Python. - Cython depends on CPython. - Compiling Cython generated C takes time. - Linkage can be a PITA (I use 64-bit Python now, and import libraries for gcc are missing.) Sturla _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
