We at Carabos are happy to announce the simultaneous release of the new 2.0.2 versions of both PyTables and PyTables Pro. They are mainly bugfix releases, and users of previous versions are encouraged to upgrade.
And now the official announce:
============================================ Announcing PyTables and PyTables Pro 2.0.2 ============================================
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 Pro adds OPSI, a powerful indexing engine for executing very fast queries in large tables.
In this version, some bugs have been fixed, being the most important a problem when moving or renaming a group. Some small improvements have been added as well. Besides, a *critical* bug has been fixed in the Pro version (the problem arose when doing repeated queries using the same index). Because of this, an upgrade is strongly recommended.
In case you want to know more in detail what has changed in this version, have a look at ``RELEASE_NOTES.txt``. Find the HTML version for this document at: http://www.pytables.org/moin/ReleaseNotes/Release_2.0.2
You can download a source package of the version 2.0.2 with generated PDF and HTML docs and 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-2.0.2
Migration Notes for PyTables 1.x users ======================================
If you are a user of PyTables 1.x, probably it is worth for you to look at ``MIGRATING_TO_2.x.txt`` file where you will find directions on how to migrate your existing PyTables 1.x apps to the 2.x versions. You can find an HTML version of this document at http://www.pytables.org/moin/ReleaseNotes/Migrating_To_2.x
Go to the PyTables web site for more details:
About the HDF5 library:
To know more about the company behind the development of PyTables, see:
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. Many thanks also to SourceForge who have helped to make and distribute this package! And last, but not least thanks a lot 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.
-- The PyTables Team
Ivan Vilata i Balaguer >qo< http://www.carabos.com/ Cárabos Coop. V. V V Enjoy Data ""