Python and HDF5
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Gain hands-on experience with HDF5 for storing scientific data in Python. This practical guide quickly gets you up to speed on the details, best practices, and pitfalls of using HDF5 to archive and share numerical datasets ranging in size from gigabytes to terabytes.
| Autor: | Collete, Andrew |
| Nakladatel: | O'Reilly Media, Inc, USA |
| ISBN: | 9781449367831 |
| Rok vydání: | 2013 |
| Jazyk : | Angličtina |
| Vazba: | Paperback |
| Počet stran: | 142 |
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