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Python and HDF5

Python and HDF5( )
Author: Collette, Andrew
ISBN:978-1-4919-4500-1
Publication Date:Oct 2013
Publisher:O'Reilly Media, Incorporated
Book Format:Ebook
List Price:Contact Supplier contact
Book Description:

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 metadata, and interoperable files. Examples are...
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