OREILLY PYTHON AND hdf5 2013 RETAIL EBOOK-KE

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OREILLY PYTHON AND HDF5<span style=color:#777> 2013</span> RETAIL EBOOK-kEOREILLY PYTHON AND HDF5<span style=color:#777> 2013</span> RETAIL EBOOK-kE

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Description

TITLE: PYTHON AND HDF5: UNLOCKING SCIENTIFIC DATA
PUBLISHER: OREILLY - LANGUAGE: ENGLISH
LINK: http://is.gd/UQgiur - RELEASE TYPE: RETAIL
FORMAT: PDF - RELEASE DATE: 2013/11/09
ISBN: 9781449367824 - STORE DATE: 2013
AUTHOR: ANDREW COLLETTE - DISKS: 02
SAVED MONEY: 24 DOLLAR

<--( BOOK )------------------------------------------------------------------->
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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