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 Title: Introduction to Scientific Programming with Python
 Author(s) Joakim Sundnes
 Publisher: Springer; 1st ed. (July 2, 2020);
 License(s): CC BYNC 4.0 and Open Access
 Hardcover: 164 pages
 eBook: PDF
 Language: English
 ISBN10: 3030503550
 ISBN13: 9783030503550
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Book Description
This book offers an initial introduction to programming for scientific and computational applications using the Python programming language. The presentation style is compact and examplebased, making it suitable for students and researchers with little or no prior experience in programming.
The book uses relevant examples from mathematics and the natural sciences to present programming as a practical toolbox that can quickly enable readers to write their own programs for data processing and mathematical modeling.
These tools include file reading, plotting, simple text analysis, and using NumPy for numerical computations, which are fundamental building blocks of all programs in data science and computational science.
At the same time, readers are introduced to the fundamental concepts of programming, including variables, functions, loops, classes, and objectoriented programming. Accordingly, the book provides a sound basis for further computer science and programming studies.
This book is open access under a CC BY license 4.0.
About the Authors Joakim Sundnes is Chief Research Scientist at Simula Research Laboratory and teaches undergraduate programming at the University of Oslo. His research is in scientific computing and computational science, mostly focused on biomechanics and computational physiology, and involves extensive programming in Python and other languages.
 Python Programming
 Numerical Analysis and Scientific Computing
 Mathematical and Computational Software

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