Good job.
Thanks Andrea

--
Antonio Valentino



> Il giorno 04/ago/2015, alle ore 02:38, Andrea Bedini 
> <and...@andreabedini.com> ha scritto:
> 
> ===========================
> 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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