Andrew Collette

Python and HDF5

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ISBN 13:: 9781449367831
author:: Andrew Collette
format:: Paperback
publisher:: OReilly Media
language:: English
Publication Year:: 2013
Pages:: 152
Dimensions:: 17.8 x 0.8 x 23.3 cm
Genre:: Computing & Internet, Databases, Data Storage & Management
Condition:: New
Availability:: Item usually sent within 10 working days

£19.49

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Description

Description

Learn to store and manage scientific data with HDF5 using Python. This practical guide covers the basics of HDF5, including creating and working with datasets, hierarchical groups, book details, and interoperable files.

Through real-world examples and exercises, you'll gain hands-on experience with HDF5's features, such as dataset chunking, compression, and referencing data. The book also explores how to use Python mechanisms for parallel code writing with HDF5.

Whether you're familiar with Python data analysis or not, this guide provides a comprehensive introduction to HDF5. Get started with setting up HDF5 tools and creating your first file, and take advantage of the benefits of using HDF5 for storing large datasets.

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