Grant Edwards wrote: > In many applications (e.g. process control) propogating NaN > values are way too useful to avoid. Avoiding NaN would make a > lot of code far more complicated than would using them.
NaNs are very useful for experienced power users but they are very confusing for newbies or developers without a numerical background. It's very easy to create an inf or nan in Python: inf = 1E+5000 ninf = -inf nan = inf * 0. 1E5000 creates a nan because it is *much* bigger than DBL_MAX (around 1E+308). In fact it is even larger than LDBL_MAX (around 1E+4932). Christian -- http://mail.python.org/mailman/listinfo/python-list
