Learning scientific programming with Python
The second edition features a new chapter on data analysis with the pandas library and comprehensive updates, and new exercises and examples. A final chapter introduces more advanced topics such as floating-point precision and algorithm stability, and extensive online resources support further study...
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| Glavni autor: | |
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| Format: | Knjiga |
| Jezik: | Undetermined |
| Izdano: |
New York
Cambridge University Press
2015
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| Teme: | |
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| Thư viện lưu trữ: | Trung tâm Học liệu Trường Đại học Cần Thơ |
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