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You're reading from Scientific Computing with Python High-performance scientific computing with NumPy, SciPy, and pandas

Product type Paperback

Published in Jul 2021

Publisher Packt

ISBN-13 9781838822323

Length 392 pages

Edition 2nd Edition

Languages

Python

Tools

NumPy

Concepts

Scientific Computing

Authors (4):

Olivier Verdier

Jan Erik Solem

Claus Führer

Claus Fuhrer

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Table of Contents (23) Chapters

Preface

1. Getting Started

2. Variables and Basic Types FREE CHAPTER

3. Container Types

4. Linear Algebra - Arrays

5. Advanced Array Concepts

6. Plotting

7. Functions

8. Classes

9. Iterating

10. Series and Dataframes - Working with Pandas

11. Communication by a Graphical User Interface

12. Error and Exception Handling

13. Namespaces, Scopes, and Modules

14. Input and Output

15. Testing

16. Symbolic Computations - SymPy

17. Interacting with the Operating System

18. Python for Parallel Computing

19. Comprehensive Examples

20. About Packt

Why subscribe?

21. Other Books You May Enjoy

22. References

4.2 Mathematical preliminaries

In order to understand how arrays work in NumPy, it is useful to understand the mathematical parallel between accessing tensor (matrix and vector) elements by indexes and evaluating mathematical functions by providing arguments. We also cover in this section the generalization of the dot product as a reduction operator.

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Authors (4)

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

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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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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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