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  • 1
    Online Resource
    Online Resource
    Python for scientists / (2014)
    Cambridge :Cambridge University Press,
    Details
    UID:
    almahu_9948233930102882
    Format: 1 online resource (xii, 220 pages) : , digital, PDF file(s).
    ISBN: 9781107447875 (ebook)
    Content: 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.
    Note: Title from publisher's bibliographic system (viewed on 05 Oct 2015). , 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.
    Additional Edition: Print version: ISBN 9781107061392
    Language: English
    URL: https://doi.org/10.1017/CBO9781107447875
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    HU Berlin
    FU Berlin
  • 2
    Book
    Book
    Python for scientists / (2014)
    Cambridge :Cambridge Univ. Press,
    Details
    UID:
    almafu_BV041936748
    Format: XII, 220 S. : , Ill., graph. Darst.
    ISBN: 978-1-107-06139-2 , 978-1-107-68642-7
    Content: "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"..
    Language: English
    Keywords: Python
    URL: Cover image
    URL: http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027379900&sequence=000004&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
    URL: Inhaltsverzeichnis
    URL: https://web.archive.org/web/20170915091959/http://www.cambridge.org/us/academic/subjects/mathematics/computational-science/python-scientists
    URL: https://web.archive.org/web/20160822062646/http://euro-math-soc.eu/review/python-scientists
    Library Location Call Number Volume/Issue/Year Availability
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    Book
    FU Berlin get availability status
    UB Potsdam get availability status
  • 3
    Online Resource
    Online Resource
    Python for scientists (2014)
    Cambridge : Cambridge University Press
    Details
    UID:
    gbv_88340592X
    Format: 1 Online-Ressource (xii, 220 Seiten)
    Edition: First published
    ISBN: 9781107447875
    Content: 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.
    Content: 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
    Note: Title from publisher's bibliographic system (viewed on 05 Oct 2015)
    Additional Edition: ISBN 9781107686427
    Additional Edition: ISBN 9781107061392
    Additional Edition: ISBN 9781107686427
    Additional Edition: Erscheint auch als Druck-Ausgabe Stewart, John, 1943 - 2016 Python for scientists Cambridge : Cambridge University Press, 2014 ISBN 1107686423
    Additional Edition: ISBN 1107061393
    Additional Edition: ISBN 9781107686427
    Additional Edition: ISBN 9781107061392
    Additional Edition: Print version ISBN 9781107061392
    Language: English
    Subjects: Computer Science
    RVK:
    ST 250
    Keywords: Python ; Python
    DOI: 10.1017/CBO9781107447875
    URL: Volltext
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    Online Access
    Open Access Request
    UB Potsdam
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