Learning scientific programming with Python:
Learn to master basic programming tasks from scratch with real-life scientifically relevant examples and solutions drawn from both science and engineering. Students and researchers at all levels are increasingly turning to the powerful Python programming language as an alternative to commercial pack...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2015
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| Schlagworte: | |
| Online-Zugang: | BSB01 FHN01 UBM01 UBT01 UER01 Volltext |
| Zusammenfassung: | Learn to master basic programming tasks from scratch with real-life scientifically relevant examples and solutions drawn from both science and engineering. Students and researchers at all levels are increasingly turning to the powerful Python programming language as an alternative to commercial packages and this fast-paced introduction moves from the basics to advanced concepts in one complete volume, enabling readers to quickly gain proficiency. Beginning with general programming concepts such as loops and functions within the core Python 3 language, and moving onto the NumPy, SciPy and Matplotlib libraries for numerical programming and data visualisation, this textbook also discusses the use of IPython notebooks to build rich-media, shareable documents for scientific analysis. Including a final chapter introducing challenging topics such as floating-point precision and algorithm stability, and with extensive online resources to support advanced study, this textbook represents a targeted package for students requiring a solid foundation in Python programming |
| Beschreibung: | 1 online resource (vii, 452 pages) |
| ISBN: | 9781139871754 |
| DOI: | 10.1017/CBO9781139871754 |
Internformat
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Datensatz im Suchindex
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| dewey-full | 005.13/3 |
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| discipline | Informatik |
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| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:39:13Z |
| institution | BVB |
| isbn | 9781139871754 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029349235 |
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| physical | 1 online resource (vii, 452 pages) |
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| publishDate | 2015 |
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| publisher | Cambridge University Press |
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| spelling | Hill, Christian 1974- Verfasser (DE-588)1085171329 aut Learning scientific programming with Python Christian Hill, University College London and Somerville College, University of Oxford Cambridge Cambridge University Press 2015 1 online resource (vii, 452 pages) txt rdacontent c rdamedia cr rdacarrier Learn to master basic programming tasks from scratch with real-life scientifically relevant examples and solutions drawn from both science and engineering. Students and researchers at all levels are increasingly turning to the powerful Python programming language as an alternative to commercial packages and this fast-paced introduction moves from the basics to advanced concepts in one complete volume, enabling readers to quickly gain proficiency. Beginning with general programming concepts such as loops and functions within the core Python 3 language, and moving onto the NumPy, SciPy and Matplotlib libraries for numerical programming and data visualisation, this textbook also discusses the use of IPython notebooks to build rich-media, shareable documents for scientific analysis. Including a final chapter introducing challenging topics such as floating-point precision and algorithm stability, and with extensive online resources to support advanced study, this textbook represents a targeted package for students requiring a solid foundation in Python programming Datenverarbeitung Mathematik Naturwissenschaft Science / Data processing Science / Mathematics Python (Computer program language) Python Programmiersprache (DE-588)4434275-5 gnd rswk-swf Wissenschaftliches Rechnen (DE-588)4338507-2 gnd rswk-swf Wissenschaftliches Rechnen (DE-588)4338507-2 s Python Programmiersprache (DE-588)4434275-5 s 1\p DE-604 Erscheint auch als Druck-Ausgabe 978-1-107-07541-2 Erscheint auch als Druck-Ausgabe 978-1-107-42822-5 https://doi.org/10.1017/CBO9781139871754 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Hill, Christian 1974- Learning scientific programming with Python Datenverarbeitung Mathematik Naturwissenschaft Science / Data processing Science / Mathematics Python (Computer program language) Python Programmiersprache (DE-588)4434275-5 gnd Wissenschaftliches Rechnen (DE-588)4338507-2 gnd |
| subject_GND | (DE-588)4434275-5 (DE-588)4338507-2 |
| title | Learning scientific programming with Python |
| title_auth | Learning scientific programming with Python |
| title_exact_search | Learning scientific programming with Python |
| title_full | Learning scientific programming with Python Christian Hill, University College London and Somerville College, University of Oxford |
| title_fullStr | Learning scientific programming with Python Christian Hill, University College London and Somerville College, University of Oxford |
| title_full_unstemmed | Learning scientific programming with Python Christian Hill, University College London and Somerville College, University of Oxford |
| title_short | Learning scientific programming with Python |
| title_sort | learning scientific programming with python |
| topic | Datenverarbeitung Mathematik Naturwissenschaft Science / Data processing Science / Mathematics Python (Computer program language) Python Programmiersprache (DE-588)4434275-5 gnd Wissenschaftliches Rechnen (DE-588)4338507-2 gnd |
| topic_facet | Datenverarbeitung Mathematik Naturwissenschaft Science / Data processing Science / Mathematics Python (Computer program language) Python Programmiersprache Wissenschaftliches Rechnen |
| url | https://doi.org/10.1017/CBO9781139871754 |
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