Python for Scientists

John M. Stewart

Verlag: Cambridge University Press, 2015
ISBN 10: 1107529190 / ISBN 13: 9781107529199
Gebraucht / Softcover / Anzahl: 0
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Python is a free, open source, easy-to-use software tool that offers a significant alternative to proprietary packages such as MATLAB and Mathematica. This book covers everything the working scientist needs to know to start using Python effectively. The author explains scientific Python from scratch, showing how easy it is to implement and test non-trivial mathematical algorithms and guiding the reader through the many freely available add-on modules. A range of examples, relevant to many different fields, illustrate the program`s capabilities. In particular, readers are shown how to use pre-existing legacy code (usually in Fortran77) within the Python environment, thus avoiding the need to master the original code. Instead of exercises the book contains useful snippets of tested code which the reader can adapt to handle problems in their own field, allowing students and researchers with little computer expertise to get up and running as soon as possible.Preface 1. Introduction 2. Getting started with IPython 3. A short Python tutorial 4. Numpy 5. Two-dimensional graphics 6. Three-dimensional graphics 7. Ordinary differential equations 8. Partial differential equations a pseudospectral approach 9. Case study multigrid 10. Appendix A. Installing a Python environment Appendix B. Fortran77 subroutines for pseudospectral methods References Index. Printed Pages: 0. Buchnummer des Verkäufers

Bibliografische Details

Titel: Python for Scientists
Verlag: Cambridge University Press
Erscheinungsdatum: 2015
Einband: Softcover
Zustand: New

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John M. Stewart
Verlag: Cambridge University Press Jul 2014 (2014)
ISBN 10: 1107686423 ISBN 13: 9781107686427
Neu Taschenbuch Anzahl: 1
(Einbeck, Deutschland)

Buchbeschreibung Cambridge University Press Jul 2014, 2014. Taschenbuch. Buchzustand: Neu. 247x176x12 mm. Neuware - This book provides everything the working scientist needs to know to start using Python effectively. 230 pp. Englisch. Artikel-Nr. 9781107686427

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