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Introduction to scientific programming with Python

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 programm...

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Detalles Bibliográficos
Autor principal: Sundnes, Joakim
Lenguaje:eng
Publicado: Springer 2020
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-030-50356-7
http://cds.cern.ch/record/2729552
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author Sundnes, Joakim
author_facet Sundnes, Joakim
author_sort Sundnes, Joakim
collection CERN
description 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.
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spelling cern-27295522021-04-21T18:05:05Zdoi:10.1007/978-3-030-50356-7http://cds.cern.ch/record/2729552engSundnes, JoakimIntroduction to scientific programming with PythonMathematical Physics and MathematicsThis 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.Springeroai:cds.cern.ch:27295522020
spellingShingle Mathematical Physics and Mathematics
Sundnes, Joakim
Introduction to scientific programming with Python
title Introduction to scientific programming with Python
title_full Introduction to scientific programming with Python
title_fullStr Introduction to scientific programming with Python
title_full_unstemmed Introduction to scientific programming with Python
title_short Introduction to scientific programming with Python
title_sort introduction to scientific programming with python
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-3-030-50356-7
http://cds.cern.ch/record/2729552
work_keys_str_mv AT sundnesjoakim introductiontoscientificprogrammingwithpython