Python and HDF5 1st Edition

Ebook Details

Authors

Andrew Collette

Year 2013
Pages 152
Publisher O'Reilly Media
Language en
ISBN 9781449367831
File Size 6.03 MB
File Format PDF
Download Counter 1,212
Amazon Link

Ebook 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.