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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Bibliografiset tiedot
Päätekijä: Langtangen, Hans Petter, 1962-2016
Aineistotyyppi: Livre numérique
Kieli:Anglais
Julkaistu: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Painos:3rd edition.
Sarja:Texts in Computational Science and Engineering 6
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Huomautus: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
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Edition sous un autre format:• A primer on scientific programming with Python, Hans Petter Langtangen, 3rd edition, 2012, Heidelberg, Springer, 1 vol. (XXXII-792 p.), Texts in computational science and engineering, 3-642-30292-0
• A Primer on Scientific Programming with Python, Texte imprimé, 9783642302947
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100 1 |a Langtangen, Hans Petter,  |d 1962-2016. 
245 1 0 |a A primer on scientific programming with Python   |c by Hans Petter Langtangen. 
250 |a 3rd edition. 
260 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg. 
260 |a Cham :  |b Springer Nature,  |c [20..]. 
490 0 |a Texts in Computational Science and Engineering  |v 6  |x 2197-179X 
500 |a Archives Springer e-books (Licence nationale) 
500 |a Archives Springer e-books (Licence nationale) 
504 |a Bibliogr., Index 
505 1 |a 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 Bibliography Index 
505 0 |a Preface -- Computing with Formulas -- Loops and Lists -- Functions and Branching -- Input Data and Error Handling -- Array Computing and Curve Plotting -- Files, Strings and Dictionaries -- 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 -- Bibliography -- Index 
506 |a Accès en ligne pour les établissements français bénéficiaires des licences nationales 
506 |a Accès soumis à abonnement pour tout autre établissement 
506 |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 
520 |a 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.  
650 |a Python (langage de programmation) 
650 |a Ordinateurs 
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776 0 |t A Primer on Scientific Programming with Python  |b Texte imprimé  |z 9783642302947 
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