[issue14394] missing links on performance claims of cdecimal

2012-04-01 Thread Roundup Robot
Roundup Robot added the comment: New changeset 6ba569924986 by Stefan Krah in branch 'default': Issue #14394: Use elaborate phrases that boil down to "one to two orders http://hg.python.org/cpython/rev/6ba569924986 -- nosy: +python-dev ___ Python tra

[issue14394] missing links on performance claims of cdecimal

2012-03-23 Thread Senthil Kumaran
Senthil Kumaran added the comment: Instead of what's new, I think, linking the benchmarks in the docs could be helpful so that library users can find it they want to. I think, we have similar performance benchmark links at other places too. -- nosy: +orsenthil ___

[issue14394] missing links on performance claims of cdecimal

2012-03-23 Thread Stefan Krah
Stefan Krah added the comment: > But there's no link on the benchmark code. I don't know if external links are appropriate in whatsnew, but this is it: http://www.bytereef.org/mpdecimal/quickstart.html -- nosy: +skrah ___ Python tracker

[issue14394] missing links on performance claims of cdecimal

2012-03-23 Thread Tshepang Lekhonkhobe
Tshepang Lekhonkhobe added the comment: > Georg Brandl added the comment: > > It would be nice to have access to the benchmarks, yes, but I hope our users > have enough trust in Python to believe this "claim" as it is. Well, there's also curiosity. For example to find out what is "pi" and "te

[issue14394] missing links on performance claims of cdecimal

2012-03-23 Thread Georg Brandl
Georg Brandl added the comment: It would be nice to have access to the benchmarks, yes, but I hope our users have enough trust in Python to believe this "claim" as it is. -- nosy: +georg.brandl priority: normal -> low type: -> enhancement ___ Pytho

[issue14394] missing links on performance claims of cdecimal

2012-03-23 Thread Tshepang Lekhonkhobe
New submission from Tshepang Lekhonkhobe : Looking at "What's New" section for cdecimal [1], I see this claim: "Performance gains range from 12x for database applications to 80x for numerically intensive applications..." But there's no link on the benchmark code. [1] http://hg.python.org/cpyt