Python and HDF5 /

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...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Collette, Andrew
Format: Electronic eBook
Language:Inglés
Published: Sebastopol, Calif. : O'Reilly Media, Inc., 2013.
Subjects:
Python (Computer program language)
Mathematics > Data processing.
Python (Langage de programmation)
Mathématiques > Informatique.
COMPUTERS > Programming Languages > General.
MATHEMATICS > General.
MATHEMATICS > Advanced.
Mathematics > Data processing
Online Access:Texto completo (Requiere registro previo con correo institucional)

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Texto completo (Requiere registro previo con correo institucional)

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