A primer on scientific programming with Python
Theaimofthisbookistoteachcomputerprogrammingusingexamples from mathematics and the natural sciences. We have chosen to use the Python programming language because it combines remarkable power with very clean, simple, and compact syntax. Python is easy to learn and very well suited for an introductio...
में बचाया:
| मुख्य लेखक: | |
|---|---|
| स्वरूप: | Livre numérique |
| भाषा: | Anglais |
| प्रकाशित: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
2009.
Cham : Springer Nature |
| श्रृंखला: | Texts in Computational Science and Engineering
6 |
| ऑनलाइन पहुंच: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| टिप्पणी: |
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, 2009, Berlin, Springer, 1 vol. (XXVII-693 p.), Texts in computational science and engineering, 978-3-642-02474-0 • A Primer on Scientific Programming with Python, Texte imprimé, 9783642024764 |
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| 020 | |a 9783642024757 | ||
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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. |
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c 2009. | ||
| 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) | ||
| 505 | 0 | |a Computing with Formulas -- Basic Constructions -- Input Data and Error Handling -- Array Computing and Curve Plotting -- Sequences and Difference Equations -- Files, Strings, and Dictionaries -- to Classes -- Random Numbers and Simple Games -- Object-Oriented Programming. | |
| 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. chttps://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a Theaimofthisbookistoteachcomputerprogrammingusingexamples from mathematics and the natural sciences. We have chosen to use the Python programming language because it combines remarkable power with very clean, simple, and compact syntax. Python is easy to learn and very well suited for an introduction to computer programming. Python is also quite similar to Matlab and a good language for doing mathematical computing. It is easy to combine Python with compiled languages, like Fortran, C, and C++, which are widely used languages forscienti?ccomputations.AseamlessintegrationofPythonwithJava is o?ered by a special version of Python called Jython. The examples in this book integrate programming with appli- tions to mathematics, physics, biology, and ?nance. The reader is - pected to have knowledge of basic one-variable calculus as taught in mathematics-intensive programs in high schools. It is certainly an - vantage to take a university calculus course in parallel, preferably c- taining both classical and numerical aspects of calculus. Although not strictly required, a background in high school physics makes many of the examples more meaningful. | ||
| 776 | 0 | |0 142984744 |t A primer on scientific programming with Python |f Hans Petter Langtangen |d 2009 |c Berlin |n Springer |p 1 vol. (XXVII-693 p.) |s Texts in computational science and engineering |z 978-3-642-02474-0 | |
| 776 | 0 | |t A Primer on Scientific Programming with Python |b Texte imprimé |z 9783642024764 | |
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| 856 | 4 | |5 452349901:74784271X |u https://ezproxy.univ-orleans.fr/login?url=https://doi.org/10.1007/978-3-642-02475-7 |z Accès Université d'Orléans | |
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