Introduction to Scientific Programming with Python [electronic resource]
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Bộ sưu tập: Tài liệu truy cập mở

ISBN:  9783030503567

Ký hiệu phân loại: 004 Data processing || Computer science

Thông tin xuất bản: Cham :Springer International Publishing : Imprint: Springer, 2020, 1st ed. 2020.

Mô tả vật lý: XIV, 148 p. , online resource.

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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.

Computer mathematics. -- Computer programming. -- Computer science-Mathematics. -- Computer software. -- Software engineering. -- Computational Science and Engineering. -- https://scigraph.springernature.com/ontologies/product-market-codes/M14026; Mathematics of Computing. -- https://scigraph.springernature.com/ontologies/product-market-codes/I17001; Professional Computing. -- https://scigraph.springernature.com/ontologies/product-market-codes/I29000; Programming Techniques. -- https://scigraph.springernature.com/ontologies/product-market-codes/I14010; Software Engineering/Programming and Operating Systems. -- https://scigraph.springernature.com/ontologies/product-market-codes/I14002

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