This chapter explored the treatment of vectors, matrices (whether normal or sparse) with the modules on linear algebra—linalg and sparse.linalg, which expand and improve the NumPy module with the same name.

In Chapter 4, SciPy for Numerical Analysis, we will continue discussing details of the options available in SciPy to perform numerical computations efficiently, will cover how to evaluate special functions found in applied mathematics and mathematical physics problems. This will be discussed in details of doing regression, interpolation and optimization via SciPy.