Path: csiph.com!fu-berlin.de!uni-berlin.de!not-for-mail From: Francesc Alted Newsgroups: comp.lang.python.announce Subject: ANN: numexpr 2.5.1 released Date: Thu, 31 Mar 2016 09:45:01 +0200 Lines: 57 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 JG+BulwuIYPvi+yXcQSKFQNMVMGcv7DxgdsozGqpefsw== 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:pypi': 0.03; 'dependency': 0.07; 'expressions': 0.07; 'pypi': 0.07; 'subject:ANN': 0.07; 'subject:released': 0.07; 'suggestions,': 0.07; 'tom': 0.07; 'cc:addr:googlegroups.com': 0.09; 'default)': 0.09; 'library),': 0.09; 'url:github': 0.09; 'url:rst': 0.09; 'bug': 0.10; 'python.': 0.11; '(but': 0.15; '==========': 0.16; 'alted': 0.16; 'bugs,': 0.16; 'evaluations': 0.16; 'francesc': 0.16; 'from:addr:faltet': 0.16; 'from:name:francesc alted': 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; 'see:': 0.22; 'skip:= 20': 0.22; '(like': 0.23; '(which': 0.26; 'message-id:@mail.gmail.com': 0.27; 'cc:no real name:2**1': 0.29; 'reporting': 0.29; 'allows': 0.30; 'url:wiki': 0.30; 'version,': 0.30; 'fixed': 0.31; 'compiled': 0.32; 'operate': 0.32; 'changed': 0.33; 'url:python': 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; 'data.': 0.36; 'evaluation': 0.36; 'hosted': 0.36; 'subject:: ': 0.37; 'thanks': 0.37; 'doing': 0.38; 'detail': 0.38; 'received:209': 0.38; 'drop': 0.38; 'wrong': 0.38; 'test': 0.39; 'build': 0.40; 'where': 0.40; 'some': 0.40; 'your': 0.60; 'share': 0.61; 'caused': 0.61; 'engine': 0.62; 'providing': 0.62; 'skip:n 10': 0.62; 'more': 0.63; 'enjoy': 0.66; 'here': 0.66; 'results': 0.66; 'header:Reply-To:1': 0.67; 'reply-to:no real name:2**0': 0.71; 'upgrading': 0.72; 'reply-to:addr:gmail.com': 0.76; 'heavy': 0.81; 'arne': 0.84; 'url:master': 0.84; 'adopt': 0.91; 'announcing': 0.91; 'ships': 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; bh=AqyqMCWGf+LUH7KgLdHKHIOA6P/M2an8oYDlvh+uTPU=; b=DtNGRlBYOn85/4HYpMfCk14/y9obW75fl2sV8dl1AuY/ciL2JkqqLNDUVsXGY8VVjv Gypm+Li5ax8JDTU7/S2QY98sJU1FPehfI5rqVvkQqGEKf3md0Hq29kIcyCj9/KIZ5ZO8 mgDZGWVbZqmMNCyA/OtLobQb/MrRydN07t6g/yekQH1aeLEmNjiwE4bw7jQV8jwicQT6 0uvRH+uw8tAq+sZl+RdOyYlr0BIakQYDP2P2SNkHXzajvQGRjdkxmg6siezES+TVRoBs 9mjTvL1ayBQld+sxo2GQNxy/NJahW/Bd94y7YsTUPYnVImsuWeFp4rmh3DRpk5cla0MP PmIA== X-Google-DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=1e100.net; s=20130820; h=x-gm-message-state:mime-version:reply-to:date:message-id:subject :from:to:cc; bh=AqyqMCWGf+LUH7KgLdHKHIOA6P/M2an8oYDlvh+uTPU=; b=IzYhnUckCS0xZ8ULIun45T11mU/VdVFo7jJIEpylAN80kDi+zI3+48wZa2BBcavoAG DH5M9DP2etQM6U9vHbo6fVPf3QSDbuEtz7bnwkTQS7V6Il1NqMpUIIeV8DKA3dGc0jgW 2r3onK7unTeaqQQ0TG4mo9uK6iUcEGx5zDOCBJhkUXKZhSnArNo6ItLfTQqbyp+HsjGD +u0f+Un9aAh8P9kKFbTWbwtVgsAyX90t2twKf9FK5A+vr72YfIvtHpnRbMqXZZwoVt2u JIOciUHxTRFLtqj1cBtYFgcQTzAtDinDGdbNeDmAGFsrouQFXQlBeYYHBzmgsckLq5M+ k9YA== X-Gm-Message-State: AD7BkJL4GPfRTpD5F+0Z9/zTrrgSd9HkxCH3XxofM/BtsE2qmKXvJqJEH7T0070ZdFCl+oLUq/VKzDeTr0FqsA== X-Received: by 10.129.53.8 with SMTP id c8mr320517ywa.149.1459410301950; Thu, 31 Mar 2016 00:45:01 -0700 (PDT) X-Mailman-Approved-At: Thu, 31 Mar 2016 04:24:27 -0400 X-Content-Filtered-By: Mailman/MimeDel 2.1.21 X-BeenThere: python-announce-list@python.org X-Mailman-Version: 2.1.21 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:2090 ========================= Announcing Numexpr 2.5.1 ========================= 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 ========== Fixed a critical bug that caused wrong evaluations of log10() and conj(). These produced wrong results when numexpr was compiled with Intel's MKL (which is a popular build since Anaconda ships it by default) and non-contiguous data. This is considered a *critical* bug and upgrading is highly recommended. Thanks to Arne de Laat and Tom Kooij for reporting and providing a test unit. 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