I implemented the Householder transformation in Python, so that I can later use it in a QR decomposition. Unfortunately I haven't found a good concise source for reading up on the algorithm.I am not really satisfied with my code - I mostly dislike its readability due to the number of various computations. I also find my usage of the identity matrices \$I\$ and \$J\$ inefficient. So I would be happy about any suggestions on improving this implementation.def houseHolder2(m):        l = len(m)    for i in range(0, l - 1):        I = np.eye(l - i)        ai = m[:, i]         abs = np.linalg.norm(ai[i:l])         sign = np.sign(m[i, i])        vi = np.array([ai[i:l]]).T + sign * abs * np.array([I[:, 0]]).T        Qi = I - 2 * (vi @ vi.T) / (vi.T @ vi)        J = np.eye(l)        J[i:l, i:l] = Qi        m = J@m    return m  
Implementation of the Householder Transformation
python;algorithm;python 3.x;matrix;numpy