Python and HDF5

Unlocking Scientific Data



Bookstore > Books > Python and HDF5

Price$23.99 - $25.53
Rating
AuthorAndrew Collette
PublisherO'Reilly Media
Published2013
Pages152
LanguageEnglish
FormatPaper book / ebook (PDF)
ISBN-101449367836
ISBN-139781449367831
EBook Hardcover Paperback

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 applicable for users of both Python 2 and Python 3. If you're familiar with the basics of Python data analysis, this is an ideal introduction to HDF5.




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