[Pytables-announce] PyTables & PyTables Pro 2.0.4 released

[Francesc A. <fa...@py...>]

Hi List,

I'm glad to announce you the availability of PyTables & PyTables Pro 
2.0.4.  As you know, I'm now the main (should I say the only one? :-/) 
responsible now for maintaining and improving PyTables, so now it is 
more important than ever that you contribute by testing, reporting 
flaws that you may detect or even better, provide patches or new code!

However, I hope to see Ivan around (he certainly follows this list) the 
project: his contribution to PyTables has been *huge* in the last years 
and without him PyTables would not have been the high quality software 
that it is now.  I positively know that he doesn't like at all that 
people praise him, specially in public, so this is a good reason for 
doing that :)  Many, many thanks, Ivan!

Anyway, you can find the new things (mainly fixes) in 2.0.4 here:

http://www.pytables.org/moin/ReleaseNotes/Release_2.0.4

See below the official announcement.

Enjoy your data!
  Francesc

===========================
 Announcing PyTables 2.0.4
===========================

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.

After some months without new versions (I have been busy for a while
doing things not related with PyTables, unfortunately), I'm happy to
announce the availability of PyTables 2.0.4.  It fixes some important
issues, and now it is possible to use table selections in threaded
environments or ``EArray.truncate(0)`` can be used so that you can
completely void existing EArrays (only enabled if you have a recent
version, i.e. >= 1.8.0, of the HDF5 library installed).  Finally, the
usage of recent versions of NumPy (1.1) and HDF5 (1.8.1) has been tested
and, fortunately, they work just fine.

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_2.0.4

You can download a source package of the version 2.0.4 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-2.0.4

*Important note for PyTables Pro users*: due to lack of resources, I'll 
not be delivering a MacOSX binary version of Pro for the time being 
(this is pretty easy to compile, though).  However, I'll continue 
offering the all-in-one binary for Windows (32-bit).


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

Resources
=========

Go to the PyTables web site for more details:

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.  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.

----

  **Enjoy data!**

  -- The PyTables Team

-- 
Francesc Alted
Freelance developer
Tel +34-964-282-249