ANN: PyTables 2.0.3 released

Francesc Altet faltet at
Sat Mar 8 11:53:54 CET 2008

 Announcing PyTables 2.0.3

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.

This is a maintenance release that mainly fixes a couple of important
bugs (bad update of multidimensional columns in table objects, and
problems using large indexes in 32-bit platforms), some small
enhancements, and most importantly, support for the latest HDF5 1.8.0 
library.  Also, binaries have been compiled against the latest stable 
version of HDF5, 1.6.7, released during the past February.  Thanks to 
the broadening PyTables community for all the valuable feedback.

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 2.0.3 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

>0,0<   Francesc Altet
V   V   Cárabos Coop. V.   Enjoy Data

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