---------- Forwarded message ---------- From: Andrew Collette email@example.com Date: Tue, Sep 11, 2012 at 11:14 AM Subject: ANN: HDF5 for Python 2.1.0 BETA To: firstname.lastname@example.org
We are proud to announce the availability of HDF5 for Python (h5py) 2.1-beta. 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.
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:
Documentation is available at Alfven.org:
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.
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