Book Image

Learning SciPy for Numerical and Scientific Computing Second Edition

Book Image

Learning SciPy for Numerical and Scientific Computing Second Edition

Overview of this book

Table of Contents (15 chapters)
Learning SciPy for Numerical and Scientific Computing Second Edition
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Index

Summary


This chapter explored special functions, integration, interpolation, and optimization through the corresponding modules (special, integrate, interpolate, and optimize), as well as discussed solutions of systems of ordinary differential equations.

In Chapter 5, SciPy for Signal Processing, we will describe the functionality of SciPy modules to analyze processes involving time series and spatial signals, including how to perform on numerical data the discrete Fourier transform, how to construct signals, how to apply filters on data, and how to interpolate images.