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