[SciPy-User] Avoiding inner for loops??
Martin De Kauwe
Mon Aug 20 20:11:22 CDT 2012
Or perhaps an easier solution would be to build the sampling grid first and
then use a single for loop to run the model?
import numpy as np
grid_size = 500
a = np.linspace(5.0, 350, grid_size)
b = np.linspace(5.0, 550, grid_size)
c = np.linspace(1E-8, 10.5, grid_size)
x = 
for (i,j,k) in itertools.product(a, b, c):
This would achieve what I want but is again very slow, so is there a way to
jump over the need for the two inner loops?
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