Python for Scientists:
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 an...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2017
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| Ausgabe: | Second edition |
| Schlagworte: | |
| Online-Zugang: | BSB01 FHN01 UBM01 UBT01 UER01 URL des Erstveröffentlichers |
| Zusammenfassung: | 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 |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 28 Aug 2017) |
| Beschreibung: | 1 online resource (xiv, 257 pages) |
| ISBN: | 9781108120241 |
| DOI: | 10.1017/9781108120241 |
Internformat
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Datensatz im Suchindex
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| discipline | Informatik |
| doi_str_mv | 10.1017/9781108120241 |
| edition | Second edition |
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| isbn | 9781108120241 |
| language | English |
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| spelling | Stewart, John 1943-2016 Verfasser (DE-588)134166337 aut Python for Scientists John M. Stewart Second edition Cambridge Cambridge University Press 2017 1 online resource (xiv, 257 pages) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 28 Aug 2017) 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 Science Data processing Python (Computer program language) Python Programmiersprache (DE-588)4434275-5 gnd rswk-swf Python Programmiersprache (DE-588)4434275-5 s 1\p DE-604 Erscheint auch als Druck-Ausgabe 9781316641231 https://doi.org/10.1017/9781108120241 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Stewart, John 1943-2016 Python for Scientists Science Data processing Python (Computer program language) Python Programmiersprache (DE-588)4434275-5 gnd |
| subject_GND | (DE-588)4434275-5 |
| title | Python for Scientists |
| title_auth | Python for Scientists |
| title_exact_search | Python for Scientists |
| title_full | Python for Scientists John M. Stewart |
| title_fullStr | Python for Scientists John M. Stewart |
| title_full_unstemmed | Python for Scientists John M. Stewart |
| title_short | Python for Scientists |
| title_sort | python for scientists |
| topic | Science Data processing Python (Computer program language) Python Programmiersprache (DE-588)4434275-5 gnd |
| topic_facet | Science Data processing Python (Computer program language) Python Programmiersprache |
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