Bug#543766: ITP: h5py is a general-purpose Python interface to hdf5

[Soeren Sonnenburg <sonne@debian.org>]

Package: wnpp
Severity: wishlist
Owner: Soeren Sonnenburg <sonne@debian.org>

* Package name    : python-h5py
  Version         : 1.2.0
  Upstream Author : Andrew Collette <collette at physics ucla edu>
* URL             : http://code.google.com/p/h5py/
* License         : BSD
  Programming Lang: C, Python
  Description     : 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. 
A generic NumPy interface to HDF5 data

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.