What are some advanced linear algebra techniques I can use with SciPy?

What are some advanced linear algebra techniques I can use with SciPy?

You can use techniques like Singular Value Decomposition (SVD), Eigenvalue decomposition, and solving linear systems with sparse matrices.

Can you explain how to perform Singular Value Decomposition in SciPy?

Sure! You can use the scipy.linalg.svd function. It decomposes a matrix into its singular values and vectors.

What is the difference between dense and sparse matrices in SciPy?

Dense matrices store all elements, while sparse matrices only store non-zero elements, saving memory for large datasets.

How can I solve a linear system using SciPy?

You can use scipy.linalg.solve for dense matrices or scipy.sparse.linalg.spsolve for sparse matrices to solve linear systems.