Table of contents

  1. Front Matter
    Pages i-xiv
  2. Joakim Sundnes
    Pages 1-4 Open Access
  3. Joakim Sundnes
    Pages 5-17 Open Access
  4. Joakim Sundnes
    Pages 19-34 Open Access
  5. Joakim Sundnes
    Pages 35-56 Open Access
  6. Joakim Sundnes
    Pages 57-80 Open Access
  7. Joakim Sundnes
    Pages 81-100 Open Access
  8. Joakim Sundnes
    Pages 101-114 Open Access
  9. Joakim Sundnes
    Pages 115-133 Open Access
  10. Joakim Sundnes
    Pages 135-145 Open Access
  11. Back Matter
    Pages 147-148

About this book


This open access book offers an initial introduction to programming for scientific and computational applications using the Python programming language. The presentation style is compact and example-based, 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 object-oriented programming. Accordingly, the book provides a sound basis for further computer science and programming studies.


programming Python computational science data science object oriented programming open access

Authors and affiliations

  • JoakimĀ Sundnes
    • 1
  1. 1.Simula Research LaboratoryLysakerNorway

Bibliographic information

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