Programming for computations - Python: a gentle introduction to numerical simulations with Python 3.6 (Texts in Computational Science and Engineering, 15) (edition 2019)

by Svein Linge (Author), Hans Petter Langtangen (Author)

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This book presents computer programming as a key method for solving mathematical problems. There are two versions of the book, one for MATLAB and one for Python. The book was inspired by the Springer book TCSE 6: A Primer on Scientific Programming with Python (by Langtangen), but the style is more accessible and concise, in keeping with the needs of engineering students. The book outlines the shortest possible path from no previous experience with programming to a set of skills that allows the students to write simple programs for solving common mathematical problems with numerical methods in engineering and science courses. The emphasis is on generic algorithms, clean design of programs, use of functions, and automatic tests for verification.… (more)

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Member:	VanPremCollege
Title:	Programming for computations - Python: a gentle introduction to numerical simulations with Python 3.6 (Texts in Computational Science and Engineering, 15)
Authors:	Svein Linge (Author)
Other authors:	Hans Petter Langtangen (Author)
Info:	Springer (2019), Edition: 2nd ed. 2020, 355 pages
Collections:	New Arrivals, eBooks
Rating:
Tags:	Python, Computer programming

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Programming for Computations - Python A Gentle Introduction to Numerical Simulations with Python by Svein Linge

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Author name	Role	Type of author	Work?	Status
Svein Linge	—	primary author	all editions	calculated
Langtangen, Hans Petter	Author	main author	all editions	confirmed

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This book presents computer programming as a key method for solving mathematical problems. There are two versions of the book, one for MATLAB and one for Python. The book was inspired by the Springer book TCSE 6: A Primer on Scientific Programming with Python (by Langtangen), but the style is more accessible and concise, in keeping with the needs of engineering students. The book outlines the shortest possible path from no previous experience with programming to a set of skills that allows the students to write simple programs for solving common mathematical problems with numerical methods in engineering and science courses. The emphasis is on generic algorithms, clean design of programs, use of functions, and automatic tests for verification.

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