Congrats!
On Mon, Aug 3, 2015 at 7:38 PM Andrea Bedini andrea@andreabedini.com wrote:
=========================== Announcing PyTables 3.2.1 ===========================
We are happy to announce PyTables 3.2.1.
What's new
This is a bug fix release. It contains a fix for a segv fault in indexesextension.keysort().
In case you want to know more in detail what has changed in this version, please refer to: http://www.pytables.org/release_notes.html
For an online version of the manual, visit: http://www.pytables.org/usersguide/index.html
What it is?
PyTables is a library for managing hierarchical datasets and designed to efficiently cope with extremely large amounts of data with support for full 64-bit file addressing. PyTables runs on top of the HDF5 library and NumPy package for achieving maximum throughput and convenient use. PyTables includes OPSI, a new indexing technology, allowing to perform data lookups in tables exceeding 10 gigarows (10**10 rows) in less than a tenth of a second.
Resources
About PyTables: http://www.pytables.org
About the HDF5 library: http://hdfgroup.org/HDF5/
About NumPy: http://numpy.scipy.org/
Acknowledgments
Thanks to many users who provided feature improvements, patches, bug reports, support and suggestions. See the ``THANKS`` file in the distribution package for a (incomplete) list of contributors. Most specially, a lot of kudos go to the HDF5 and NumPy makers. Without them, PyTables simply would not exist.
Share your experience
Let us know of any bugs, suggestions, gripes, kudos, etc. you may have.
**Enjoy data!**
-- The PyTables Developers
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