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  • Book
  • Open Access
  • © 2020

Introduction to Scientific Programming with Python

Authors:

(view affiliations)
  • Practical and example-based presentation quickly enables readers to start writing their own programs

  • The book combines practical tools of computational science with fundamental and generic programming concepts, including object-oriented programming

  • Provides a compact introduction to the essential building blocks of programs for data-centric and computational applications

Part of the book series: Simula SpringerBriefs on Computing (SBRIEFSC, volume 6)

Buying options

Softcover Book
USD 37.99
Price excludes VAT (USA)

Table of contents (9 chapters)

  1. Front Matter

    Pages i-xiv
  2. Getting Started with Python

    • Joakim Sundnes
    Pages 1-4Open Access
  3. Computing with Formulas

    • Joakim Sundnes
    Pages 5-17Open Access
  4. Loops and Lists

    • Joakim Sundnes
    Pages 19-34Open Access
  5. Functions and Branching

    • Joakim Sundnes
    Pages 35-56Open Access
  6. User Input and Error Handling

    • Joakim Sundnes
    Pages 57-80Open Access
  7. Arrays and Plotting

    • Joakim Sundnes
    Pages 81-100Open Access
  8. Dictionaries and Strings

    • Joakim Sundnes
    Pages 101-114Open Access
  9. Classes

    • Joakim Sundnes
    Pages 115-133Open Access
  10. Object-Oriented Programming

    • Joakim Sundnes
    Pages 135-145Open 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.


Keywords

  • programming
  • Python
  • computational science
  • data science
  • object oriented programming
  • open access

Authors and Affiliations

  • Simula Research Laboratory, Lysaker, Norway

    Joakim Sundnes

About the author

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. For the last five years he has been responsible for the main introductory programming class for natural science students at the University of Oslo, and he has also taught multiple graduate courses in computational physiology and applied mathematics.


Bibliographic Information

Buying options

Softcover Book
USD 37.99
Price excludes VAT (USA)