Introduction to Scientific Programming with Python

• Main Author: Sundnes, Joakim (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2020.
• Edition: 1st ed. 2020.
• Series: Simula SpringerBriefs on Computing, 6
• Subjects: Mathematics > Data processing.; Programming languages (Electronic computers).; Computer programming.; Software engineering.; Computer science > Mathematics.; Computational Science and Engineering.; Programming Language.; Programming Techniques.; Software Engineering.; Mathematics of Computing.
• Online Access: Link to Metadata

Summary

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.

Physical Description

XIV, 148 p. online resource.

ISBN

9783030503567

ISSN

2512-1685 ;

DOI

10.1007/978-3-030-50356-7

Access

Open Access