Path: csiph.com!fu-berlin.de!uni-berlin.de!not-for-mail From: Francesc Alted Newsgroups: comp.lang.python.announce Subject: ANN: numexpr 2.4.6 released Date: Mon, 2 Nov 2015 20:13:46 +0100 Lines: 60 Approved: python-announce-list@python.org Message-ID: Reply-To: faltet@gmail.com Mime-Version: 1.0 Content-Type: text/plain; charset=UTF-8 X-Trace: news.uni-berlin.de sXnZ9p+T3donAQmTklBmGAYEHj8NJrOyLEG3ImVSeLLw== Return-Path: X-Original-To: python-announce-list@python.org Delivered-To: python-announce-list@mail.python.org X-Spam-Status: OK 0.003 X-Spam-Evidence: '*H*': 0.99; '*S*': 0.00; 'url:pypi': 0.03; 'dependency': 0.07; 'expressions': 0.07; 'pypi': 0.07; 'subject:ANN': 0.07; 'subject:released': 0.07; 'suggestions,': 0.07; 'cc:addr:googlegroups.com': 0.09; 'library),': 0.09; 'url:github': 0.09; 'url:rst': 0.09; 'python.': 0.11; '(but': 0.15; '==========': 0.16; 'alted': 0.16; 'bugs,': 0.16; 'francesc': 0.16; 'from:addr:faltet': 0.16; 'from:name:francesc alted': 0.16; 'now.\xc2\xa0': 0.16; 'numpy': 0.16; 'received:io': 0.16; 'received:psf.io': 0.16; 'memory': 0.17; 'numerical': 0.18; 'cc:addr:python.org': 0.20; 'cc:2**2': 0.20; 'arrays': 0.22; 'fixing': 0.22; 'see:': 0.22; 'skip:= 20': 0.22; '(like': 0.23; 'handling': 0.27; 'message-id:@mail.gmail.com': 0.27; 'symbols': 0.29; 'cc:no real name:2**1': 0.29; 'allows': 0.30; 'url:wiki': 0.30; 'version,': 0.30; 'fixed': 0.31; 'operate': 0.32; 'reported': 0.32; 'changed': 0.33; 'url:python': 0.33; 'solaris': 0.33; 'skip:& 20': 0.35; 'received:google.com': 0.35; 'requiring': 0.35; 'project': 0.36; 'url:org': 0.36; 'received:209.85': 0.36; 'evaluation': 0.36; 'hosted': 0.36; 'subject:: ': 0.37; 'release': 0.37; 'doing': 0.38; 'detail': 0.38; 'version': 0.38; 'received:209': 0.38; 'drop': 0.38; 'hi,': 0.38; 'where': 0.40; 'some': 0.40; 'your': 0.60; 'share': 0.61; 'hope': 0.61; 'ago.': 0.61; 'engine': 0.62; 'more': 0.63; 'hours': 0.65; 'enjoy': 0.66; 'here': 0.66; 'header:Reply-To:1': 0.67; 'reply-to:no real name:2**0': 0.71; 'reply-to:addr:gmail.com': 0.76; 'heavy': 0.81; 'received:209.85.160.178': 0.84; 'url:master': 0.84; 'adopt': 0.91; 'announcing': 0.91; 'have.': 0.93 DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=mime-version:reply-to:date:message-id:subject:from:to:cc :content-type; bh=4Nf7Nchou5O8NSGn6NswaWt2Er1WQklbTLSZww8A0X0=; b=GFB8UoosOLBEfi2zdQCOGlRwXbymwqf0ebHiZ2k0JVYwsDjC3Sqg05yMt0liX7/ALY F+rtCcj/Dc+C1Fzz5rbxsJgZ4crkx7qvpO3yaugGkHrx0p0g2rob+fcE4+jJB/gH9XqX TM3hClLCF0qVx5QRHAqhn5dQZSI8/ZFJMhCZUnjFKbqAeuWC/JM1llWisI653QY9w41f 4tcWBzsOhxlqOpszDcF2hzMI0kgjpqoqvBHTkR0a88awJVaZ9Rhi7lx4IHysHuYLFjgK tzXhAi36MgPMK0X01cpkx/3EXMa/cPR/MpOccgMTmdkN2DujFHeYrnlLedmaeJipxh81 2Umw== X-Received: by 10.129.72.147 with SMTP id v141mr17541225ywa.70.1446491626946; Mon, 02 Nov 2015 11:13:46 -0800 (PST) X-Mailman-Approved-At: Mon, 02 Nov 2015 15:12:38 -0500 X-Content-Filtered-By: Mailman/MimeDel 2.1.20+ X-BeenThere: python-announce-list@python.org X-Mailman-Version: 2.1.20+ Precedence: list List-Id: Announcement-only list for the Python programming language List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , Xref: csiph.com comp.lang.python.announce:1911 Hi, This is a quick release fixing some reported problems in the 2.4.5 version that I announced a few hours ago. Hope I have fixed the main issues now. Now, the official announcement: ========================= Announcing Numexpr 2.4.6 ========================= 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 wears 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. What's new ========== This is a quick maintenance version that offers better handling of MSVC symbols (#168, Francesc Alted), as well as fising some UserWarnings in Solaris (#189, Graham Jones). In case you want to know more in detail what has changed in this version, see: https://github.com/pydata/numexpr/blob/master/RELEASE_NOTES.rst 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 Share your experience ===================== Let us know of any bugs, suggestions, gripes, kudos, etc. you may have. Enjoy data! -- Francesc Alted