[SciPy-User] Use of numpy functions instead builtins

Florian Lindner mailinglists@xgm...
Sat Apr 3 05:02:40 CDT 2010

I've code that have a lot longer formulas like this on:

tan_theta = ( 2 * (1/tan(sa))*(Ma**2*sin(sa)**2-1)) / ( 2+Ma**2 * (self.f_prop.kappa+1 - 2 * sin(sa)**2) )

all variables are scalars so it works fine with the stuff I get from the math package. Since I"m using scipy anyway in my app I wonder if there is any advantage using the numpy math functions (sin, cos, ..., exp, power). Is there any advantage using them over the python bultins?



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