About the book
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 modelling. 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 object-oriented programming. Accordingly, the book provides a sound basis for further computer science and programming studies.
Introduction to Scientific Computing with Phytonis now available for download. As with all theSimula SpringerBriefs on Computing, this volume is open access under a CC BY 4.0 license and was published by SpringerOpen.
About the author
Joakim Sundnes is a Chief Research Scientist at Simula and teaches computational modelling and introductory programming at the University of Oslo. He holds a PhD in Scientific Computing from the University of Oslo, and his research interests include mathematical modelling of physiology and biology, numerical methods for differential equations, and application of computational models in medicine.
The Simula SpringerBriefs on Computing aims to provide introductions to select research in computing. The series presents both a state-of-the-art disciplinary overview and raises essential critical questions in the field. Published by SpringerOpen, all Simula SpringerBriefs on Computing isopen access, allowing for faster sharing and wider dissemination of knowledge.
By publishing the Simula SpringerBriefs on Computing, Simula Research Laboratory acts on its mandate of emphasizing research education. Books in this series are published only by invitation from a member of the editorial board. This is the sixth volume. For previous volumes click here.