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Python and HDF5

Author: Andrew Collette
Publisher: Sebastopol, Calif. : O'Reilly Media, Inc., 2013. ©2014
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
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 practical exercises, you'll explore topics such as scientific datasets, hierarchically organized groups, user-defined  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Collette, Andrew.
Python and HDF5
(OCoLC)859383794
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Andrew Collette
ISBN: 9781491945001 1491945001 9781491944981 1491944986 9781491945018 149194501X
OCLC Number: 868232129
Description: 1 online resource (135 pages)
Responsibility: Andrew Collette.

Abstract:

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  Read more...

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