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Mastering SciPy

You're reading from Mastering SciPy Implement state-of-the-art techniques to visualize solutions to challenging problems in scientific computing, with the use of the SciPy stack

Product type Paperback

Published in Nov 2015

Publisher

ISBN-13 9781783984749

Length 404 pages

Edition 1st Edition

Languages

Python

Tools

SciPy

Concepts

Scientific Computing

Authors (2):

Francisco Javier Blanco-Silva

Francisco Javier B Silva

View More author details

Table of Contents (11) Chapters

Preface

1. Numerical Linear Algebra

2. Interpolation and Approximation FREE CHAPTER

3. Differentiation and Integration

4. Nonlinear Equations and Optimization

5. Initial Value Problems for Ordinary Differential Equations

6. Computational Geometry

7. Descriptive Statistics

8. Inference and Data Analysis

9. Mathematical Imaging

Index

Summary

In this chapter, we explored advanced techniques in the SciPy stack to perform inferential statistics, data mining, and machine learning. In the next chapter, we change gears completely to master mathematical imaging.

The rest of the chapter is locked

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Authors (2)

Francisco Javier B Silva

Francisco Javier B Silva

See other products by Francisco Javier B Silva

Blanco-Silva

Blanco-Silva

I will always be indebted to Bradley J. Lucier and Rodrigo Bañuelos, for being a constant inspiration, for their guidance and teachings. Special thanks to my editors, Sriram Neelakantam, Bharat Patil, Nikhil Potdukhe, and Mohammad Rizvi. Many colleagues have contributed with encouragement and fruitful discussions. In particular, I would like to mention Parsa Bakhtary, Aaron Dutle, Edsel Peña, Pablo Sprechmann, Adam Taylor, and Holly Watson. But the most special thanks go without a doubt to my wife and daughter. Grace's love and smiles alone provided all the motivation, enthusiasm and skills to overcome any difficulties encountered during the pursuit of this book, and everything life threw at me ever since she was born.

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