Book Image

Learning SciPy for Numerical and Scientific Computing Second Edition - Second Edition

Book Image

Learning SciPy for Numerical and Scientific Computing Second Edition - Second Edition

Overview of this book

This book targets programmers and scientists who have basic Python knowledge and who are keen to perform scientific and numerical computations with SciPy.
Table of Contents (10 chapters)
9
Index

Summary

In this chapter, you have learned the benefits of using the combination of Python, NumPy, SciPy, and matplotlib as a programming environment for any scientific endeavor that requires mathematics; in particular, anything related to numerical computations. You have explored the environment, learned how to download, install, and test the required libraries, used them for some quick computations, and figured out a few good ways to search for help.

In Chapter 2, Working with the NumPy Array As a First Step to SciPy, we will guide you through basic object creation in SciPy, including the best methods to manipulate data, or obtain information from it.