[pytables-users] [ANN] PyTables 3.4.3

[Javier Sancho]

===========================
Announcing PyTables 3.4.3
===========================

We are happy to announce PyTables 3.4.3


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

This new release of PyTables gets support of `hfile.root['some
child']` dict-like syntax for accessing children. There is also
support for `new os.fspath` method (PEP 519). 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/v3.4.3

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