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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...

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Bibliographic Details
Main Author:	Collette, Andrew (Author)
Corporate Author:	Safari, an O'Reilly Media Company
Format:	eBook
Language:	English
Published:	O'Reilly Media, Inc., 2013.
Edition:	1st edition.
Subjects:	Electronic books.
Online Access:	Connect to this electronic resource

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