Introduction to Scientific Programming with Python

• 1. autor: Sundnes, Joakim (auth)
• Format: Elektroniczne Rozdział
• Język: angielski
• Wydane: Springer Nature 2020
• Seria: Simula SpringerBriefs on Computing 6
• Hasła przedmiotowe: Maths for scientists; Computing & information technology; Computer programming / software development; Software Engineering; Mathematical theory of computation; Computational Science and Engineering; Professional Computing; Programming Techniques; Software Engineering/Programming and Operating Systems; Mathematics of Computing; Programming Language; programming; Python; computational science; data science; object oriented programming; open access; Applied computing; Computer programming / software engineering; Operating systems; Maths for computer scientists
• Dostęp online: OAPEN Library: download the publication; OAPEN Library: description of the publication

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.