Path: csiph.com!fu-berlin.de!uni-berlin.de!not-for-mail From: Robert McLeod Newsgroups: comp.lang.python.announce Subject: ANN: NumExpr 2.6.3 release Date: Wed, 13 Sep 2017 17:28:03 -0700 Lines: 80 Approved: python-announce-list@python.org Message-ID: References: Mime-Version: 1.0 Content-Type: text/plain; charset="UTF-8" X-Trace: news.uni-berlin.de L5mfkLrfrbCU8gHmxcqLxA3ai6QQrqazOwnR2Vwmshfg== Return-Path: X-Original-To: python-announce-list@python.org Delivered-To: python-announce-list@mail.python.org X-Spam-Status: OK 0.000 X-Spam-Evidence: '*H*': 1.00; '*S*': 0.00; 'url:pypi': 0.03; 'encoded': 0.05; 'expressions': 0.05; 'url:github': 0.05; 'dependency': 0.07; 'fixes': 0.07; 'pypi': 0.07; 'sphinx': 0.07; 'subject:ANN': 0.07; 'suggestions,': 0.07; 'bug': 0.09; 'matches': 0.09; 'everyone,': 0.13; 'python.': 0.13; '(but': 0.15; 'shape': 0.15; '--\xc2\xa0': 0.16; '1.7': 0.16; 'backend.': 0.16; 'bugs,': 0.16; 'burns': 0.16; 'constants': 0.16; 'flags.': 0.16; 'iterator': 0.16; 'library),': 0.16; 'literals': 0.16; 'numpy': 0.16; 'numpy.': 0.16; 'supported.': 0.16; 'url:pydata': 0.16; 'string': 0.17; 'numerical': 0.18; 'subject:release': 0.18; 'memory': 0.18; 'changes': 0.21; 'arrays': 0.22; 'bytes': 0.22; 'fixing': 0.22; 'ph.d.': 0.22; 'reduced': 0.22; 'skip:` 10': 0.22; 'url:io': 0.23; 'fix': 0.23; '8bit%:5': 0.25; 'message- id:@mail.gmail.com': 0.25; '(like': 0.27; 'newly': 0.29; '(see': 0.29; '8bit%:9': 0.30; 'primarily': 0.30; 'at:': 0.32; 'url:wiki': 0.32; 'received:google.com': 0.32; 'hosted': 0.32; 'operate': 0.32; 'url:python': 0.33; 'fixed': 0.33; 'skip:= 20': 0.33; 'url:en': 0.33; 'allows': 0.34; 'skip:- 30': 0.34; 'skip:& 20': 0.34; 'in:': 0.35; 'requiring': 0.35; 'robert': 0.35; 'evaluation': 0.36; 'thanks': 0.36; 'url:org': 0.37; 'subject:: ': 0.37; 'release': 0.38; 'doing': 0.38; 'drop': 0.39; 'some': 0.39; 'performance': 0.39; 'proto:https': 0.39; 'to:addr:python.org': 0.39; 'received:io': 0.39; 'received:psf.io': 0.39; 'received:ams1.psf.io': 0.40; 'received:mail1.ams1.psf.io': 0.40; 'skip:n 20': 0.60; 'email addr:gmail.com': 0.60; 'your': 0.61; 'more': 0.62; 'share': 0.62; 'increased': 0.63; 'skip:n 30': 0.63; 'engine': 0.63; 'skip:= 30': 0.64; 'maintenance': 0.65; 'here': 0.66; 'enjoy': 0.70; 'to:addr:python-announce-list': 0.72; 'discovered': 0.75; 'skip:n 40': 0.75; 'heavy': 0.81; '1.6': 0.84; 'whereby': 0.84; 'announcing': 0.91; 'have.': 0.95 DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20161025; h=mime-version:from:date:message-id:subject:to; bh=NKcPx3zSpOgWCaybfIriaYd9e3B62l+cc4bL5VNE+bk=; b=o1W2s24ck09UpMH4UK99Y9evtpuLounhfEQGw2q2HG7Jv+qeZAzu85NvC732TsWJ8X qUBnOrk6R6RSGwNks2wg8Ts5p55c1ndChCoULF1iOozIR5grOZfJ6jFPJLKSqWht/tu0 +egLWOziZMbgUB+2ELuyJq8HoEGFA1JfB0RyWO6MB0/guWvB0lf2zCAj9vqXS9T89GbS nCWtuc7rYeF9Ri8Hwsp+SmEfRI/XoP3H2XQnZbgHIx8VAe0Cm4G1j+DBPjEswKkIyfqk Y/xhbDWViG0UHwgBF/StA0LASdpxIX8PFNFZiln5pgMgowCGdiSdyzp8+X1ly2TtRMrU Wynw== X-Google-DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=1e100.net; s=20161025; h=x-gm-message-state:mime-version:from:date:message-id:subject:to; bh=NKcPx3zSpOgWCaybfIriaYd9e3B62l+cc4bL5VNE+bk=; b=naSXH9L/RVcZrV6jJpRWzLUAShwJf3rieVRZ9DMcHbl2yqvcMnwTFT5UhkrQxuRlKJ Fz4xGOjEEHt7fPYxZI3Y+iFW/Cu88PDnK+JkP1GFn0CMV8UoJli1M2g94mTbfQnWZ3qY GbN0RIwPVWBQyBJM3mFzT39asA7twkVVRU1zh53MJsQnePjHyTBJS+rE0B74ssOxn2SZ eZZQ57O6P+27lcaZdlvun6bLlu+rhWs3kx1muVAj7sQ4uG2OAL851tBK6ESh2H4QSY7L 2M2kbgS7DdltgqyN6TM/UPtxy0oftS2kmZSkOFIlI+aAeZbXRU2qhKpIKIndQQci4mLA NTNQ== X-Gm-Message-State: AHPjjUjoGe83CGqaHcVaLjWNsNViomOohlKve9eF0oBDMZA5jQlvxNMO jmqHXn4j1ZdAjuzsosCkxE/Pfb8Tg+IzliMPjMoliw== X-Google-Smtp-Source: AOwi7QCbFbV+cwpul3LbebyQu/MgWziX8setApcjIdoJJh5viMUg4yaisixS6NAMj3aZ97NIwPS4fV1g3qf2LcdNW+A= X-Received: by 10.200.47.114 with SMTP id k47mr30502200qta.109.1505348883898; Wed, 13 Sep 2017 17:28:03 -0700 (PDT) X-Mailman-Approved-At: Thu, 14 Sep 2017 08:05:03 -0400 X-Content-Filtered-By: Mailman/MimeDel 2.1.24 X-BeenThere: python-announce-list@python.org X-Mailman-Version: 2.1.24 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:2622 Hi everyone, This is primarily a maintenance release that fixes a number of newly discovered bugs. The NumPy requirement has increased from 1.6 to 1.7 due to changes with `numpy.nditer` flags. Thanks to Caleb P. Burns `ceil` and `floor` functions are now supported. Project documentation is now available at: http://numexpr.readthedocs.io/ ========================= Announcing Numexpr 2.6.3 ========================= Changes from 2.6.2 to 2.6.3 ------------------------------------- - Documentation now available at numexpr.readthedocs.io - Support for floor() and ceil() functions added by Caleb P. Burns. - NumPy requirement increased from 1.6 to 1.7 due to changes in iterator flags (#245). - Sphinx autodocs support added for documentation on readthedocs.org. - Fixed a bug where complex constants would return an error, fixing problems with `sympy` when using NumExpr as a backend. - Fix for #277 whereby arrays of shape (1,...) would be reduced as if they were full reduction. Behavoir now matches that of NumPy. - String literals are automatically encoded into 'ascii' bytes for convience (see #281). What's Numexpr? ----------------------- Numexpr is a fast numerical expression evaluator for NumPy. With it, expressions that operate on arrays (like "3*a+4*b") are accelerated and use less memory than doing the same calculation in Python. It has multi-threaded capabilities, as well as support for Intel's MKL (Math Kernel Library), which allows an extremely fast evaluation of transcendental functions (sin, cos, tan, exp, log...) while squeezing the last drop of performance out of your multi-core processors. Look here for a some benchmarks of numexpr using MKL: https://github.com/pydata/numexpr/wiki/NumexprMKL Its only dependency is NumPy (MKL is optional), so it works well as an easy-to-deploy, easy-to-use, computational engine for projects that don't want to adopt other solutions requiring more heavy dependencies. Where I can find Numexpr? ------------------------------------ The project is hosted at GitHub in: https://github.com/pydata/numexpr You can get the packages from PyPI as well (but not for RC releases): http://pypi.python.org/pypi/numexpr Documentation is hosted at: http://numexpr.readthedocs.io/en/latest/ Share your experience ------------------------------ Let us know of any bugs, suggestions, gripes, kudos, etc. you may have. Enjoy data! -- Robert McLeod, Ph.D. robbmcleod@gmail.com robbmcleod@protonmail.com