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ANN: PyTables 3.4

Started by	Tom Kooij <tom.kooij@gmail.com>
First post	2017-04-12 18:55 +0200
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  ANN: PyTables 3.4 Tom Kooij <tom.kooij@gmail.com> - 2017-04-12 18:55 +0200

#2460 — ANN: PyTables 3.4

From	Tom Kooij <tom.kooij@gmail.com>
Date	2017-04-12 18:55 +0200
Subject	ANN: PyTables 3.4
Message-ID	<mailman.229.1492420063.2951.python-announce-list@python.org>

=========================
 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
version, please refer to: http://www.pytables.org/release_notes.html

You can install it via pip or download a source package with generated
PDF and HTML docs from:
https://github.com/PyTables/PyTables/releases/v3.4.1

For an online version of the manual, visit:
http://www.pytables.org/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

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ANN: PyTables 3.4

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#2460 — ANN: PyTables 3.4