The dot product of arrays of vectors can be calculated using Numpy with:
import numpy as np a = np.array([[1, 1, 1], [2, 2, 2]]) b = np.array([[1, 2, 3], [4, 5, 6]]) np.sum(a*b, axis=1)
The dot product can be used to calculate the projection of a vector onto an axis in 3D space.
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