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 elements. * 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