Python and HDF5

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.Through real-world examples and p...

Ausführliche Beschreibung

Bibliographische Detailangaben

1. Verfasser:	Collette, Andrew
Format:	Buch
Sprache:	eng
Schlagworte:	Mathematics Python (Computer program language)
Online-Zugang:	Volltext
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