TY  - BOOK
AU  - Sundnes, Joakim
AB  - 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.
DO  - 10.1007/978-3-030-50356-7
ID  - OAPEN ID: ONIX_20200921_9783030503567_98
KW  - Computational Science and Engineering
KW  - Professional Computing
KW  - Programming Techniques
KW  - Software Engineering/Programming and Operating Systems
KW  - Mathematics of Computing
KW  - Programming Language
KW  - Software Engineering
KW  - programming
KW  - Python
KW  - computational science
KW  - data science
KW  - object oriented programming
KW  - open access
KW  - Maths for scientists
KW  - Applied computing
KW  - Computer programming / software engineering
KW  - Operating systems
KW  - Mathematical theory of computation
KW  - Maths for computer scientists
KW  - Textbook
L1  - https://library.oapen.org/bitstream/id/f22d0a85-4cb4-42f3-a610-5a20df2528c9/2020_Book_IntroductionToScientificProgra.pdf
LA  - English
LK  - https://library.oapen.org/handle/20.500.12657/41741
PB  - Springer Nature
PY  - 2020
TI  - Introduction to Scientific Programming with Pythonnull
ER  - 
