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Introduction to Scientific Programming with Python

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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.

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Disponibilidade

No copy data

Detail Information

Título da série

Simula SpringerBriefs on Computing

Número de chamada

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Editora

Springer Cham : Springer Cham., 2020

Paginação

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Idioma

English

ISBN/ISSN

978-3-030-50356-7

Classificação

NONE

Content Type

text

Media Type

computer

Carrier Type

online resource

Edição

1

Assunto(s)

Mathematics of Computing
Computational Science

Detalhe específico

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Statement of Responsibility

Joakim Sundnes

Other Information

Cataloger

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Source

https://link.springer.com/book/10.1007/978-3-030-50356-7

Validator

Suwardi

Digital Object Identifier (DOI)

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Journal Volume

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Journal Issue

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Subtitle

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Parallel Title

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Other version/related

Arquivo anexo

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