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h5py is a general-purpose Python interface to hdf5

HDF5 for Python (h5py) is a general-purpose Python interface to the Hierarchical Data Format library, version 5. HDF5 is a versatile, mature scientific software library designed for the fast, flexible storage of enormous amounts of data.

From a Python programmer's perspective, HDF5 provides a robust way to store data, organized by name in a tree-like fashion. You can create datasets (arrays on disk) hundreds of gigabytes in size, and perform random-access I/O on desired sections. Datasets are organized in a filesystem-like hierarchy using containers called "groups", and accessed using the tradional POSIX /path/to/resource syntax.

H5py provides a simple, robust read/write interface to HDF5 data from Python. Existing Python and Numpy concepts are used for the interface; for example, datasets on disk are represented by a proxy class that supports slicing, and has dtype and shape attributes. HDF5 groups are presented using a dictionary metaphor, indexed by name.

Package version:2.0.1-2+b1


README file for h5py version 2.0.0


  * Docs, general info:
  * Downloads, FAQ, bug tracker:
  * Mailing list: h5py at googlegroups


You need, at a minimum:

  * HDF5 1.8.3 or later
  * Python 2.6, 2.7 or 3.2
  * Any modern version of NumPy


  * Cython 0.13 or later,


h5py (2.0.1-2+b1) sid; urgency=low

  * Binary-only non-maintainer upload for s390; no source changes.
  * Rebuild against improved dh_numpy.

 -- s390/s390x Build Daemon (zappa) <>  Sat, 25 Feb 2012 23:21:54 +0000

h5py (2.0.1-2) unstable; urgency=low

  * Build depend on libhdf5-dev instead of libhdf5-serial-dev to accomodate
  hdf5 transition.

 -- Soeren Son


This package was debianized by Soeren Sonnenburg <> on
Wed, 26 Aug 2009 22:53:35 +0200.

It was downloaded from .

If not otherwise mentioned 

Copyright: © 2008 Andrew Collette <>


  Redistribution and use in source and binary forms, with or without
  modification, are permitted provided that the following conditi

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