HDF5 for Python 1.0

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Announcing HDF5 for Python (h5py) 1.0
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What is h5py?
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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 
accesed using the tradional POSIX /path/to/resource syntax.

This is the fourth major release of h5py, and represents the end
of the "unstable" (0.X.X) design phase.

Why should I use it?
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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 are presented using a dictionary metaphor, indexed