========================= 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 -- https://mail.python.org/mailman/listinfo/python-announce-list Support the Python Software Foundation: http://www.python.org/psf/donations/
