I'm starting to think that one should use Decimals by default and reserve floats for special cases.
This is somewhat analogous to the way that Python provides arbitrarily-big integers by default and Python programmers only use old-fashioned fixed-size integers for special cases, such as interoperation with external systems or highly optimized pieces (in numpy or in native extension modules, for example). Floats are confusing. I've studied them more than once over the years but I still can't really predict confidently what floats will do in various situations. And most of the time (in my experience) the inputs and outputs to your system and the literals in your code are actually decimal, so converting them to float immediately introduces a lossy data conversion before you've even done any computation. Decimal doesn't have that problem. >From now on I'll probably try to use Decimals exclusively in all my new Python code and switch to floats only if I need to interoperate with an external system that requires floats or I have some tight inner loop that needs to be highly optimized. Regards, Zooko -- http://mail.python.org/mailman/listinfo/python-list
