Is there an equivalent Matlab dot function in numpy?

Question

Is there an equivalent Matlab dot function in numpy?

The dot function in Matlab: For multidimensional arrays A and B, dot returns the scalar product along the first non-singleton dimension of A and B. A and B must have the same size.

In numpy the following is similar but not equivalent:

dot (A.conj().T, B)

Answer 1

In MATLAB, dot(A,B) of two matrices A and B of same size is simply:

sum(conj(A).*B)

Equivalent Python/Numpy:

np.sum(A.conj()*B, axis=0)