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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def rmsd(V, W):
 """ Calculate Root-mean-square deviation from two sets of vectors V and W. Parameters V : array (N,D) matrix, where N is points and D is dimension. W : array (N,D) matrix, where N is points and D is dimension. Returns ------- rmsd : float Root-mean-square deviation between the two vectors """

    D = len(V[0])
    N = len(V)
    result = 0.0
    for v, w in zip(V, W):
        result += sum([(v[i] - w[i])**2.0 for i in range(D)])
    return np.sqrt(result/N)