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:
| Beteilige Person: | |
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| Format: | E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2015
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| Links: | https://doi.org/10.1017/CBO9781139871754 |
| 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. |
| Umfang: | 1 Online-Ressource (vii, 452 Seiten) |
| ISBN: | 9781139871754 |
Internformat
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| spelling | Hill, Christian 1974- Learning scientific programming with Python Christian Hill, University College London and Somerville College, University of Oxford Cambridge Cambridge University Press 2015 1 Online-Ressource (vii, 452 Seiten) txt c cr 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. Erscheint auch als Druck-Ausgabe 9781107075412 Erscheint auch als Druck-Ausgabe 9781107428225 |
| spellingShingle | Hill, Christian 1974- Learning scientific programming with Python |
| 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 |
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