ANN: PyTables 2.2.1 released

[Francesc Alted]

===========================
 Announcing PyTables 2.2.1
===========================

This is maintenance release.  The upgrade is recommended for all that
are running PyTables in production environments.


What's new
==========

Many fixes have been included, as well as a fair bunch of performance
improvements.  Also, the Blosc compression library has been updated to
1.1.2, in order to prevent locks in some scenarios.  Finally, the new
evaluation version of PyTables Pro is based on the previous Pro 2.2.

In case you want to know more in detail what has changed in this
version, have a look at:
http://www.pytables.org/moin/ReleaseNotes/Release_2.2.1

You can download a source package with generated PDF and HTML docs, as
well as binaries for Windows, from:
http://www.pytables.org/download/stable

For an on-line version of the manual, visit:
http://www.pytables.org/docs/manual-2.2.1


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.


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 (and numarray!)
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 Team

-- 
Francesc Alted