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Learning SciPy for Numerical and Scientific Computing by Francisco J. Blanco-Silva

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Chapter 3. SciPy for Linear Algebra

In the following chapters, we will continue exploring the different SciPy modules through meaningful examples. We will start with the treatment of 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.

This discipline of mathematics mainly studies vector spaces and the linear mappings among them. Matrices represent objects in this field naturally, in such a way that any property of the underlying objects may be obtained by performing some operation on the representing matrices. We assume at this point that you are familiar with at least the basics of linear algebra, in particular with the notion of matrix ...

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