[Numpy-discussion] ANN: PyTables 3.2.0 release candidate 1 is out

Francesc Alted faltet at gmail.com
Tue Apr 21 09:04:08 EDT 2015


===========================
 Announcing PyTables 3.2.0rc1
===========================

We are happy to announce PyTables 3.2.0rc1.

*******************************
IMPORTANT NOTICE:

If you are a user of PyTables, it needs your help to keep going.  Please
read the next thread as it contains important information about the
future of the project:

https://groups.google.com/forum/#!topic/pytables-users/yY2aUa4H7W4

Thanks!
*******************************


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

This is a major release of PyTables and it is the result of more than a
year of accumulated patches, but most specially it fixes a nasty problem
with indexed queries not returning the correct results in some
scenarios.  There are many usablity and performance improvements too.

In case you want to know more in detail what has changed in this
version, please refer to: http://pytables.github.io/release_notes.html

You can download a source package with generated PDF and HTML docs, as
well as binaries for Windows, from:
http://sourceforge.net/projects/pytables/files/pytables/3.2.0rc1

For an online version of the manual, visit:
http://pytables.github.io/usersguide/index.html


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.  PyTables includes OPSI, a new indexing technology,
allowing to perform data lookups in tables exceeding 10 gigarows
(10**10 rows) in less than a tenth of a second.


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 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 Developers
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/numpy-discussion/attachments/20150421/4cc97439/attachment.html>


More information about the NumPy-Discussion mailing list