Umfang:
1 Online-Ressource (xii, 220 Seiten)
Ausgabe:
First published
ISBN:
9781107447875
Inhalt:
Scientific Python is a significant public domain alternative to expensive proprietary software packages. This book teaches from scratch everything the working scientist needs to know using copious, downloadable, useful and adaptable code snippets. Readers will discover how easy it is to implement and test non-trivial mathematical algorithms and will be guided through the many freely available add-on modules. A range of examples, relevant to many different fields, illustrate the language's capabilities. The author also shows how to use pre-existing legacy code (usually in Fortran77) within the Python environment, thus avoiding the need to master the original code. In this new edition, several chapters have been re-written to reflect the IPython notebook style. With an extended index, an entirely new chapter discussing SymPy and a substantial increase in the number of code snippets, researchers and research students will be able to quickly acquire all the skills needed for using Python effectively.
Inhalt:
Machine generated contents note: 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
Anmerkung:
Title from publisher's bibliographic system (viewed on 05 Oct 2015)
Weitere Ausg.:
ISBN 9781107686427
Weitere Ausg.:
ISBN 9781107061392
Weitere Ausg.:
ISBN 9781107686427
Weitere Ausg.:
Erscheint auch als Druck-Ausgabe Stewart, John, 1943 - 2016 Python for scientists Cambridge : Cambridge University Press, 2014 ISBN 1107686423
Weitere Ausg.:
ISBN 1107061393
Weitere Ausg.:
ISBN 9781107686427
Weitere Ausg.:
ISBN 9781107061392
Weitere Ausg.:
Print version ISBN 9781107061392
Sprache:
Englisch
Fachgebiete:
Informatik
Schlagwort(e):
Python
;
Python
DOI:
10.1017/CBO9781107447875
