ANN: PyTables 3.4
tom.kooij at gmail.com
Wed Apr 12 12:55:21 EDT 2017
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
The most important feature of PyTables 3.4 is support for HDF5 v1.10.x,
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:
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.
About PyTables: http://www.pytables.org
About the HDF5 library: http://hdfgroup.org/HDF5/
About NumPy: http://numpy.scipy.org/
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.
-- The PyTables Developers
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