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Introduction to Scientific Programming with Python
Joakim Sundnes
2020
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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.
This book is included in DOAB.
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Keywords
- Applied computing
- computational science
- Computational Science and Engineering
- Computer programming / software development
- Computer programming / software engineering
- Computer science
- Computing & information technology
- Data science
- Mathematical theory of computation
- Mathematics & science
- 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
- Science: general issues
- Software engineering
- Software Engineering/Programming and Operating Systems
Links
DOI: 10.1007/978-3-030-50356-7Editions