Primer on Scientific Programming with Python - Info and Reading Options
By Hans Petter Langtangen
"Primer on Scientific Programming with Python" was published by Springer London, Limited in 2014 - Berlin, Heidelberg, it has 872 pages and the language of the book is English.
“Primer on Scientific Programming with Python” Metadata:
- Title: ➤ Primer on Scientific Programming with Python
- Author: Hans Petter Langtangen
- Language: English
- Number of Pages: 872
- Publisher: Springer London, Limited
- Publish Date: 2014
- Publish Location: Berlin, Heidelberg
“Primer on Scientific Programming with Python” Subjects and Themes:
- Subjects: ➤ Mathematics - Software engineering - Computer science - Computational Science and Engineering - Programming Techniques - Software Engineering/Programming and Operating Systems - Mathematics of Computing - Numerical and Computational Physics - General - Data processing - Mathematical & computational - Professional, career & trade -> computer science -> computer science - Professional, career & trade -> computer science -> programming languages (jr/sr) - Professional, career & trade -> engineering -> software engineering - Professional, career & trade -> computer science -> data processing - Physical & earth sciences -> physics -> mathematical physics - Scm14026 - Sci14010 - Sci14002 - Sci17001 - Scp19021 - Suco11649 - 4149 - 7055 - 5482 - 3080 - 2998 - Computer mathematics - Computer programming - Physics - Numerical and Computational Physics, Simulation
Edition Specifications:
- Pagination: xxxi, 872
Edition Identifiers:
- The Open Library ID: OL37235653M - OL20717491W
- ISBN-13: 9783642549595
- All ISBNs: 9783642549595
AI-generated Review of “Primer on Scientific Programming with Python”:
"Primer on Scientific Programming with Python" Description:
Open Data:
The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example and problem-oriented, where the applications are taken from mathematics, numerical calculus, statistics, physics, biology and finance. The book teaches "Matlab-style" and procedural programming as well as object-oriented programming. High school mathematics is a required background and it is advantageous to study classical and numerical one-variable calculus in parallel with reading this book. Besides learning how to program computers, the reader will also learn how to solve mathematical problems, arising in various branches of science and engineering, with the aid of numerical methods and programming. By blending programming, mathematics and scientific applications, the book lays a solid foundation for practicing computational science. From the reviews: Langtangen ... does an excellent job of introducing programming as a set of skills in problem solving. He guides the reader into thinking properly about producing program logic and data structures for modeling real-world problems using objects and functions and embracing the object-oriented paradigm... Summing Up: Highly recommended. F. H. Wild III, Choice, Vol. 47 (8), April 2010 Those of us who have learned scientific programming in Python 'on the streets' could be a little jealous of students who have the opportunity to take a course out of Langtangen's Primer." John D. Cook, The Mathematical Association of America, September 2011 This book goes through Python in particular, and programming in general, via tasks that scientists will likely perform. It contains valuable information for students new to scientific computing and would be the perfect bridge between an introduction to programming and an advanced course on numerical methods or computational science. Alex Small, IEEE, CiSE Vol. 14 (2), March /April 2012
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