Machine Learning, Data Science, Dimensionality Reduction, Svd, Linear Algebra.
for Scientific Computing in Python. It has useful Linear Algebra capabilities along with other applications. You can obtain the complete matrices U, S, and V using SVD in numpy.linalg. Note that S is a diagonal matrix which means that most of its entries are zeros. This is called a sparse matrix.