A primer on scientific programming with Python / Hans Petter Langtangen

Auteur: Langtangen, Hans Petter (1962-) - AuteurType de document: Livre numériqueCollection: Texts in computational science and engineering, (Online) ; 6Langue: anglaisÉditeur: Berlin : Springer, 2009 ISBN: 9783642024757 Note: Publisher’s description: 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. Sujets MSC: 68N15 Computer science -- Software -- Programming languages
68-04 Computer science -- Explicit machine computation and programs (not the theory of computation or programming)
68-01 Computer science -- Instructional exposition (textbooks, tutorial papers, etc.)
68W30 Computer science -- Algorithms -- Symbolic computation and algebraic computation
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Publisher’s description: 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.

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