<s>[INST] How can the euclidean distance be calculated with numpy? I have two points in 3D:
(xa, ya, za)
(xb, yb, zb)

And I want to calculate the distance:
dist = sqrt((xa-xb)^2 + (ya-yb)^2 + (za-zb)^2)

What's the best way to do this with Numpy, or with Python in general?  I have:
a = numpy.array((xa ,ya, za))
b = numpy.array((xb, yb, zb))

 [/INST] Use numpy.linalg.norm:
dist = numpy.linalg.norm(a-b)

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