Sebastian Haase wrote: > I know that having too much knowledge of the details often makes one > forget what the "newcomers" will do and expect.
Please be more careful with such accusations. Repeated frequently, they can become quite insulting. > We are only talking > about people that will a) work with single-precision data (e.g. large > scale-image analysis) and who b) will tend to "just use the default" > (dtype) --- How else can I say this: these people will just assume that > arr.mean() *is* the mean of arr. I don't understand what you mean, here. arr.mean() is almost never *the* mean of arr. Double precision can't fix that. -- Robert Kern "I have come to believe that the whole world is an enigma, a harmless enigma that is made terrible by our own mad attempt to interpret it as though it had an underlying truth." -- Umberto Eco ------------------------------------------------------------------------- Take Surveys. Earn Cash. Influence the Future of IT Join SourceForge.net's Techsay panel and you'll get the chance to share your opinions on IT & business topics through brief surveys -- and earn cash http://www.techsay.com/default.php?page=join.php&p=sourceforge&CID=DEVDEV _______________________________________________ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
