Introduction to Scientific Programming with Python
Sundnes, Joakim
Introduction to Scientific Programming with Python - Springer Nature 2020 - 1 electronic resource (148 p.) - Simula SpringerBriefs on Computing 6 .
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.
Creative Commons
English
978-3-030-50356-7
10.1007/978-3-030-50356-7 doi
Computer programming / software development
Computing & information technology
Mathematical theory of computation
Maths for scientists
Software Engineering
Applied computing computational science Computational Science and Engineering Computer programming / software engineering data science Mathematical theory of computation Mathematics of Computing Maths for computer scientists Maths for scientists object oriented programming open access Operating systems Professional Computing programming Programming Language Programming Techniques Python Software Engineering Software Engineering/Programming and Operating Systems
Introduction to Scientific Programming with Python - Springer Nature 2020 - 1 electronic resource (148 p.) - Simula SpringerBriefs on Computing 6 .
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.
Creative Commons
English
978-3-030-50356-7
10.1007/978-3-030-50356-7 doi
Computer programming / software development
Computing & information technology
Mathematical theory of computation
Maths for scientists
Software Engineering
Applied computing computational science Computational Science and Engineering Computer programming / software engineering data science Mathematical theory of computation Mathematics of Computing Maths for computer scientists Maths for scientists object oriented programming open access Operating systems Professional Computing programming Programming Language Programming Techniques Python Software Engineering Software Engineering/Programming and Operating Systems