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From: Andrew Collette
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.
H5py 2.1-beta is available for Unix and Windows. The beta period will last approximately 2 weeks. Comments and suggestions are welcome, either at the project issue tracker or on the mailing list (h5py at Google Groups). 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 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 bug fixes. -- You received this message because you are subscribed to the Google Groups "h5py" group. To post to this group, send email to h5py@googlegroups.com. To unsubscribe from this group, send email to h5py+unsubscribe@googlegroups.com. For more options, visit this group at http://groups.google.com/group/h5py?hl=en.
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Matthew Turk