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<電子ブック>
Introduction to Scientific Programming with Python / by Joakim Sundnes
(Simula SpringerBriefs on Computing. ISSN:25121685 ; 6)

1st ed. 2020.
出版者 (Cham : Springer International Publishing : Imprint: Springer)
出版年 2020
本文言語 英語
大きさ XIV, 148 p : online resource
著者標目 *Sundnes, Joakim author
SpringerLink (Online service)
件 名 LCSH:Mathematics -- Data processing  全ての件名で検索
LCSH:Programming languages (Electronic computers)
LCSH:Computer programming
LCSH:Software engineering
LCSH:Computer science -- Mathematics  全ての件名で検索
FREE:Computational Science and Engineering
FREE:Programming Language
FREE:Programming Techniques
FREE:Software Engineering
FREE:Mathematics of Computing
一般注記 Getting started with Python -- Computing with formulas -- Loops and lists -- Functions and branching -- User input and error handling -- Arrays and plotting -- Dictionaries and strings -- Classes -- Object-oriented programming
Open Access
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
HTTP:URL=https://doi.org/10.1007/978-3-030-50356-7
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電子ブック オンライン 電子ブック

Springer eBooks 9783030503567
電子リソース
EB00228062

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データ種別 電子ブック
分 類 LCC:QA71-90
DC23:003.3
書誌ID 4000135358
ISBN 9783030503567

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