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Programming for Computations - Python : A Gentle Introduction to Numerical Simulations with Python / Svein Linge and Hans Petter Langtangen

By: Contributor(s): Language: English Series: Texts in Computational Science and Engineering ; v.15Publication details: New York: Springer; ©2016Description: xvi, 224pISBN:
  • 9783319324272
Subject(s): DDC classification:
  • 004.0151 LinP
Summary: 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.
List(s) this item appears in: New Arrivals 16-31 October 2025, Vol. 06, Issue 29
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Item type Current library Collection Call number Copy number Status Barcode
Books Books Indian Institute of Technology Tirupati General Stacks Computer Science 004.0151 LinP (11559) (Browse shelf(Opens below)) Copy 1 Available 11559

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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