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A primer on scientific programming with Python / Hans Petter Langtangen

Ouvrage
Auteur principal: Langtangen, Hans Petter, 1962-2016, AuteurLangue : anglaisPays : Allemagne.Mention d'édition: 5th editionPublication : Heidelberg : Berlin : SpringerDate du copyright : 2016Description: 1 vol. (XXXI-914 p.), ill. en noir et en coul., couv. ill. en coul., 26 cmISBN : 9783662498866; 978-3-662-57046-3.Collection: Texts in computational science and engineering, 1611-0994, 6Résumé : 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. [4e de couverture].Bibliographie : Bibliogr. p. 907. Index.Sujet - Nom commun: Analyse numérique | Programmation (mathématiques) | Python (langage de programmation) | Programming (Mathematics) | Scripting languages (Computer science) | Python (Computer program language)
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Ouvrage Ouvrage La bibliothèque de l'ESPCI Magasin IF-084 (Browse shelf(Opens below)) Available IF-084

Bibliogr. p. 907. Index

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. [4e de couverture]

Preface Computing with Formulas Loops and Lists Functions and Branching User Input and Error Handling Array Computing and Curve Plotting Dictionaries and Strings Introduction to Classes Random Numbers and Simple Games Object-Oriented Programming Sequences and Difference Equations Introduction to Discrete Calculus Introduction to Differential Equations A Complete Differential Equation Project Programming of Differential Equations Debugging Migrating Python to Compiled Code Technical Topics References Index