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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 Quick solutions to complex numerical problems in physics, applied mathematics, and science with SciPy

Product type Paperback

Published in Feb 2015

Publisher Packt

ISBN-13 9781783987702

Length 188 pages

Edition 2nd Edition

Languages

Python

Tools

SciPy

Concepts

Data Science

Table of Contents (10) Chapters

Preface

1. Introduction to SciPy

2. Working with the NumPy Array As a First Step to SciPy FREE CHAPTER

3. SciPy for Linear Algebra

4. SciPy for Numerical Analysis

5. SciPy for Signal Processing

6. SciPy for Data Mining

7. SciPy for Computational Geometry

8. Interaction with Other Languages

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.

The rest of the chapter is locked

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