A primer on scientific programming with python

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 boo...

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Detalles Bibliográficos
Autor principal: Langtangen, Hans Petter, 1962-2016
Formato: Livre numérique
Lenguaje:Anglais
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Springer e-books [20..].
Cham : Springer Nature
Edición:2nd Edition.
Colección:Texts in Computational Science and Engineering 6
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Acceso en línea:Accès sur la plateforme de l'éditeur
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Accès Université d'Orléans
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Nota: Description d'après consultation du 31 janvier 2013
Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• A primer on scientific programming with Python, Hans Petter Langtangen, 2nd edition, 2011, Berlin, Springer, 1 vol. (XXIX-699 p.), Texts in computational science and engineering, 978-3-642-18365-2
Descripción
Sumario: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
Notas:Description d'après consultation du 31 janvier 2013
Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Bibliografía:Bibliogr. Index
ISBN:9783642183669
ISSN:1611-0994
Acceso:Accès en ligne pour les établissements français bénéficiaires des licences nationales
Accès soumis à abonnement pour tout autre établissement
Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017