Snippet from: http://codereview.appspot.com/186247/diff2/5014:8003/7002
*PyPy*: PyPy [#pypy]_ has good performance on numerical code, but is slower than Unladen Swallow on non-numerical workloads. PyPy only supports 32-bit x86 code generation. It has poor support for CPython extension modules, making migration for large applications prohibitively expensive. That part at the very least has some sort of personal opinion "prohibitively", while the other part is not completely true "slower than US on non-numerical workloads". Fancy providing a proof for that? I'm well aware that there are benchmarks on which PyPy is slower than CPython or US, however, I would like a bit more weighted opinion in the PEP. Cheers, fijal _______________________________________________ Python-Dev mailing list Python-Dev@python.org http://mail.python.org/mailman/listinfo/python-dev Unsubscribe: http://mail.python.org/mailman/options/python-dev/archive%40mail-archive.com
