ANN: PyTables 3.4

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ANN: PyTables 3.4

Tom Kooij

=========================
 Announcing PyTables 3.4
=========================

We are happy to announce PyTables 3.4.1. PyTables 3.4.0 was immediately
followed by a bugfix release 3.4.1. This announces both 3.4.0 and 3.4.1


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

The most important feature of PyTables 3.4 is support for HDF5 v1.10.x, while
maintaining compatiblity with HDF5 1.8.x. Also, the internal Blosc version
was updated to 1.11.3 which fixes a critical bug on big-endian machines.
The release includes many small bugfixes.

In case you want to know more in detail what has changed in this

You can install it via pip or download a source package with generated
PDF and HTML docs from:

For an online version of the manual, visit:


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/



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


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