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    Introduction to Scientific Programming with Python

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    Author(s)
    Sundnes, Joakim
    Language
    English
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    Abstract
    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.
    URI
    https://library.oapen.org/handle/20.500.12657/39979
    Keywords
    Computational Science and Engineering; Professional Computing; Programming Techniques; Software Engineering/Programming and Operating Systems; Mathematics of Computing; Programming Language; Software Engineering; programming; Python; computational science; data science; object oriented programming; open access; Maths for scientists; Applied computing; Computer programming / software engineering; Operating systems; Mathematical theory of computation; Maths for computer scientists; Textbook
    DOI
    10.1007/978-3-030-50356-7
    Publisher
    Springer Nature
    Publisher website
    https://www.springernature.com/gp/products/books
    Publication date and place
    2020
    Imprint
    Springer
    Series
    Simula SpringerBriefs on Computing, 6
    Classification
    Maths for scientists
    Computing and Information Technology
    Computer programming / software engineering
    Software Engineering
    Mathematical theory of computation
    Pages
    148
    Rights
    http://creativecommons.org/licenses/by/4.0/
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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