===========================
 Announcing PyTables 3.8.0
===========================

We are happy to announce PyTables 3.8.0.


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

Added support for the Blosc2 compression library, as well as optimized paths
for Blosc2 reading and writing in tables. Such optimized path bypasses the
HDF5 filter pipeline (using the HDF5 direct chunking machinery) for a better
performance.  See how this works more in-depth and some benchmarks at:
https://www.blosc.org/posts/blosc2-pytables-perf/

Last, but not least, Python 3.11 is supported, and binary wheels have been
generated for the main architectures, with the exception of Mac OSX arm64,
which we has resisted our efforts so far; however, building from sources
should work well in this case.

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/v3.8.0

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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