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Maintainer: Soeren Sonnenburg <sonne@debian.org>
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XS-Python-Version: >= 2.5
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Build-Depends: debhelper ( >=7), cdbs, quilt, python-all-dev (>= 2.5.0),
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python-central (>= 0.6.0), libhdf5-serial-dev, python-numpy
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Standards-Version: 3.8.3
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Homepage: http://code.google.com/p/h5py/
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Vcs-Svn: https://bollin.googlecode.com/svn/python-h5py/
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Vcs-Browser: http://bollin.googlecode.com/svn/python-h5py/
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Depends: ${shlibs:Depends}, ${misc:Depends}, ${python:Depends},
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XB-Python-Version: ${python:Versions}
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Description: h5py is a general-purpose Python interface to hdf5
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HDF5 for Python (h5py) is a general-purpose Python interface to the
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Hierarchical Data Format library, version 5. HDF5 is a versatile, mature
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scientific software library designed for the fast, flexible storage of
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enormous amounts of data.
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From a Python programmer's perspective, HDF5 provides a robust way to
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store data, organized by name in a tree-like fashion. You can create
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datasets (arrays on disk) hundreds of gigabytes in size, and perform
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random-access I/O on desired sections. Datasets are organized in a
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filesystem-like hierarchy using containers called "groups", and accessed
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using the tradional POSIX /path/to/resource syntax.
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H5py provides a simple, robust read/write interface to HDF5 data from
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Python. Existing Python and Numpy concepts are used for the interface;
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for example, datasets on disk are represented by a proxy class that
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supports slicing, and has dtype and shape attributes. HDF5 groups are
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presented using a dictionary metaphor, indexed by name.
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