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Learning SciPy for Numerical and Scientific Computing Second Edition

You're reading from  Learning SciPy for Numerical and Scientific Computing Second Edition

Product type Book
Published in Feb 2015
Publisher Packt
ISBN-13 9781783987702
Pages 188 pages
Edition 1st Edition
Languages

Summary


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.

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