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Scientific Computing with Python 3

You're reading from Scientific Computing with Python 3 An example-rich, comprehensive guide for all of your Python computational needs

Product type Paperback

Published in Dec 2016

Publisher Packt

ISBN-13 9781786463517

Length 332 pages

Edition 1st Edition

Languages

Python

Tools

SciPy

Concepts

Data Analysis

Authors (4):

Jan Erik Solem

Claus Fuhrer

Olivier Verdier

Claus Führer

View More author details

Table of Contents (17) Chapters

Preface

1. Getting Started FREE CHAPTER

2. Variables and Basic Types

3. Container Types

4. Linear Algebra – Arrays

5. Advanced Array Concepts

6. Plotting

7. Functions

8. Classes

9. Iterating

10. Error Handling

11. Namespaces, Scopes, and Modules

12. Input and Output

13. Testing

14. Comprehensive Examples

15. Symbolic Computations - SymPy

References

Chapter 4. Linear Algebra – Arrays

Linear algebra is one of the essential building blocks of computational mathematics. The objects of linear algebra are vectors and matrices. The package NumPy includes all the necessary tools to manipulate those objects.

The first task is to build matrices and vectors, or to alter existing ones by slicing. The other main task is the dot operation, which embodies most of the linear algebra operations (scalar product, matrix-vector product, and matrix-matrix product). Finally, various methods are available to solve linear problems.

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Authors (4)

Führer

Führer

Claus Führer is a professor of scientific computations at Lund University, Sweden. He has an extensive teaching record that includes intensive programming courses in numerical analysis and engineering mathematics across various levels in many different countries and teaching environments. Claus also develops numerical software in research collaboration with industry and received Lund University's Faculty of Engineering Best Teacher Award in 2016.

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Claus Fuhrer

Claus Fuhrer

Claus Führer is a professor of scientific computations at Lund University, Sweden. He has an extensive teaching record that includes intensive programming courses in numerical analysis and engineering mathematics across various levels in many different countries and teaching environments. Claus also develops numerical software in research collaboration with industry and received Lund University's Faculty of Engineering Best Teacher Award in 2016.

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Verdier

Verdier

Olivier Verdier began using Python for scientific computing back in 2007 and received a PhD in mathematics from Lund University in 2009. He has held post-doctoral positions in Cologne, Trondheim, Bergen, and Ume and is now an associate professor of mathematics at Bergen University College, Norway.

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Solem

Solem

Jan Erik Solem is a Python enthusiast, former associate professor, and computer vision entrepreneur. He co-founded several computer vision startups, most recently Mapillary, a street imagery computer vision company, and has worked in the tech industry for two decades. Jan Erik is a World Economic Forum technology pioneer and won the Best Nordic Thesis Award 2005-2006 for his dissertation on image analysis and pattern recognition. He is also the author of "Programming Computer Vision with Python" (O'Reilly 2012).

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