Since there's been a lot of Cython discussion lately I thought I'd speak up and start a thread specifically for my project.
We've just recently set a clear direction for my Google Summer of Code project for integrating NumPy in a better way with Cython. What we ended up with is that I will over the summer add Cython support for the Python 3 buffer interface: http://wiki.cython.org/enhancements/buffer (We aim to support NumPy back to Python 2.3, perhaps as a special case, but the buffer interface will guide in what way we support it.) General feedback is welcome; in particular, I need more opinions about what syntax people would like. We seem unable to find something that we really like; this is the current best candidate (cdef is the way you declare types on variables in Cython): cdef int i = 4, j = 6 cdef np.ndarray[np.float64, 2] arr = np.zeros((10, 10), dtype=np.float64) arr[i, j] = 1 ... The code above the under the hood acquires a buffer and uses it for efficient access. arr[5], arr[5,6,7], arr[2:4,...] and in general anything but two simple indices will be passed to Python, while arr[i, j] will be passed to the buffer. This is a natural first step and I'll focus on this exclusively in the beginning. (That said, once this is in place, there are of course lots of opportunities of doing an even better job in supporting the numerical community with Cython: ndenumerate, more efficient buffer acquisition and array creation, more efficient calling of NumPy/SciPy functions without going through the Python "calling convention", etc..) Dag Sverre _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
