[Numpy-discussion] ANN: PyTables & PyTables Pro 2.0.2 are out!

Ivan Vilata i Balaguer ivilata at carabos.com
Tue Nov 27 12:04:34 EST 2007

Hi everyone,

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

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:

You can download a source package of the version 2.0.2 with
generated PDF and HTML docs and binaries for Windows from

For an on-line version of the manual, visit:

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


Go to the PyTables web site for more details:


About the HDF5 library:


About NumPy:


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


  **Enjoy data!**

  -- The PyTables Team


	Ivan Vilata i Balaguer   >qo<   http://www.carabos.com/
	       Cárabos Coop. V.  V  V   Enjoy Data
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