SciPy SVD vs. Numpy SVD

Question

Both SciPy and Numpy have built in functions for singular value decomposition (SVD). The commands are basically scipy.linalg.svd and numpy.linalg.svd.

Answer 1

Apart from the error checking, the actual work seems to be done within lapack both with numpy and scipy.

Without having done any benchmarking, I guess the performance should be identical.