ANN PyTables 3.2.3 released.

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ANN PyTables 3.2.3 released.

Tom Kooij
=========================== 
 Announcing PyTables 3.2.3 
=========================== 

We are happy to announce PyTables 3.2.3. 


What's new 
========== 

This is a bug fix release. It solves many issues reported in the
months since the release of 3.2.2.

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: 


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/ 



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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