=========================== 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