Python and HDF5 - Collette Andrew

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.

data wydania

21 października 2013

ISBN

9781491945001

język

polski