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Collette A. Python and HDF5

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Collette A. Python and HDF5
O’Reilly Media, 2013. — 152 p. — ISBN: 1449367836, 9781449367831
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.
Get set up with HDF5 tools and create your first HDF5 file Work with datasets by learning the HDF5 Dataset object Understand advanced features like dataset chunking and compression Create self-describing files by adding metadata with HDF5 attributes Express relationships among data with references, named types, and dimension scales Discover how Python mechanisms for writing parallel code interact with HDF5
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