Victor Stinner <victor.stin...@gmail.com> wrote: > By the way, how much faster is cdecimal? 72x or 80x? > http://docs.python.org/dev/whatsnew/3.3.html#decimal
It really depends on the precision. Also, the performance of decimal.py depends on many other things in the Python tree, so it easily changes +-10%. Currently, decimal.py seems to be 10% faster than in 3.2, maybe because of the new string representation. The 80x is a ballpark figure for the maximum expected speedup for standard numerical floating point applications. factorial(1000) is 219x faster in _decimal, and with increasing precision the difference gets larger and larger. For huge numbers _decimal is also faster than int: factorial(1000000): _decimal, calculation time: 6.844487905502319 _decimal, tostr(): 0.033592939376831055 int, calculation time: 17.96010398864746 int, tostr(): ... still running ... Stefan Krah _______________________________________________ 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
