Path: csiph.com!fu-berlin.de!uni-berlin.de!not-for-mail From: Javier Sancho Newsgroups: comp.lang.python.announce Subject: [ANN] PyTables 3.4.3 Date: Wed, 25 Apr 2018 11:36:48 +0200 Lines: 69 Approved: python-announce-list@python.org Message-ID: References: Mime-Version: 1.0 Content-Type: text/plain; charset=utf-8; format=flowed Content-Transfer-Encoding: 7bit X-Trace: news.uni-berlin.de +v/rcN7kg0+sjj2rhnZZCAI/bsI2Tv64sGGDST4A/+9Q== Return-Path: X-Original-To: python-announce-list@python.org Delivered-To: python-announce-list@mail.python.org X-Spam-Status: OK 0.002 X-Spam-Evidence: '*H*': 1.00; '*S*': 0.00; 'url-ip:23.253/16': 0.03; 'amounts': 0.05; 'hierarchical': 0.07; 'subject:ANN': 0.07; 'suggestions,': 0.07; 'url-ip:192.30.253.112/32': 0.07; 'url- ip:192.30.253.113/32': 0.07; 'url-ip:192.30.253/24': 0.07; 'url:github': 0.07; 'url:releases': 0.07; 'second.': 0.09; 'suggestions.': 0.09; 'library': 0.12; 'url-ip:192.30/16': 0.13; '===========': 0.16; 'datasets': 0.16; 'exist.': 0.16; 'kudos': 0.16; 'lookups': 0.16; 'numpy': 0.16; 'received:192.168.1.131': 0.16; 'throughput': 0.16; 'tables': 0.17; 'bug': 0.19; 'runs': 0.20; 'install': 0.20; 'header:User-Agent:1': 0.25; '64-bit': 0.25; 'indexing': 0.25; 'pip': 0.25; 'skip:` 10': 0.25; '----': 0.27; 'syntax': 0.27; 'subject:] ': 0.29; 'developers': 0.31; 'announce': 0.31; 'source': 0.34; 'feature': 0.35; 'list': 0.35; 'skip:= 10': 0.35; 'changed': 0.35; 'received:192.168.1': 0.35; 'gets': 0.36; 'url-ip:50/8': 0.36; 'method': 0.36; 'received:192.168': 0.37; 'file': 0.37; 'received:192': 0.37; 'url-ip:192/8': 0.37; 'from:': 0.39; 'subject:[': 0.39; 'url:org': 0.39; 'large': 0.39; 'there': 0.40; 'detail': 0.40; 'thanks': 0.40; 'more': 0.62; 'announcing': 0.62; 'efficiently': 0.63; 'maximum': 0.63; 'url-ip:185/8': 0.63; 'designed': 0.63; 'managing': 0.63; 'simply': 0.63; 'technology,': 0.65; 'use.': 0.66; 'url:index': 0.66; 'refer': 0.68; 'online': 0.69; 'have.': 0.70; 'url:4': 0.76; 'exceeding': 0.84; 'manual,': 0.84; 'children.': 0.95 User-Agent: Mozilla/5.0 (X11; Linux x86_64; rv:52.0) Gecko/20100101 Thunderbird/52.7.0 Content-Language: en-US X-Mailman-Approved-At: Wed, 25 Apr 2018 08:26:41 -0400 X-BeenThere: python-announce-list@python.org X-Mailman-Version: 2.1.26 Precedence: list List-Id: Announcement-only list for the Python programming language List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-Mailman-Original-Message-ID: Xref: csiph.com comp.lang.python.announce:2824 =========================== 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