Hi Gert Jan. Let me clarify what I got from your question - does it make sense to write performance sensitive code in C, or would PyPy optimize loops well enough?
If you want to use only PyPy, you can quite easily use numpy arrays to get a C-like performance. indeed, hakan ardo was able to run his video processing routines (using array.array instead of numpy.array, but that's not relevant) at almost C speed [1] and we'll get there at some point in not so distant future. Also numpy vector operations are already faster using PyPy than cpython (by stacking multiple operations in one go) and we're planning to implement SSE in some not-so-distant future. This is however, if you plan to use PyPy. Those kind of solutions don't work on CPython at all. [1] http://morepypy.blogspot.com/2011/07/realtime-image-processing-in-python.html I hope that answers your questions. Cheers, fijal _______________________________________________ pypy-dev mailing list pypy-dev@python.org http://mail.python.org/mailman/listinfo/pypy-dev
