[Numpy-discussion] ANN: HDF5 for Python (h5py) 2.1.0-final

Andrew Collette andrew.collette at gmail.com
Thu Oct 4 11:20:20 EDT 2012

Announcing HDF5 for Python (h5py) 2.1.0

We are proud to announce the availability of HDF5 for Python (h5py)
2.1.0!  This release has been a long time coming.  Thanks to everyone
who contributed code and filed bug reports!

What's new in h5py 2.1

* The HDF5 Dimension Scales API is now available, along with high-level
  integration with Dataset objects.  Thanks to D. Dale for implementing this.

* Unicode scalar strings can now be stored in attributes.

* Dataset objects now expose a .size property giving the total number of

* Many performance improvements and bug fixes

About the project

HDF5 for Python (h5py) is a general-purpose Python interface to the
Hierarchical Data Format library, version 5.  HDF5 is a mature scientific
software library originally developed at NCSA, 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 traditional POSIX /path/to/resource syntax.

Downloads, FAQ and bug tracker are available at Google Code:

* Google code site:  http://h5py.googlecode.com

Documentation is available at Alfven.org:

* http://h5py.alfven.org

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