Groups > comp.lang.python.announce > #2928

ANN: Numexpr 2.6.6

Path	csiph.com!fu-berlin.de!uni-berlin.de!not-for-mail
From	Robert McLeod <robbmcleod@gmail.com>
Newsgroups	comp.lang.python.announce
Subject	ANN: Numexpr 2.6.6
Date	Mon, 16 Jul 2018 12:39:55 -0700
Lines	69
Approved	python-announce-list@python.org
Message-ID	<mailman.390.1531899377.2882.python-announce-list@python.org> (permalink)
References	<CAEFUWWVqxgiu0y9-3z+1ifOPBDUMT8mJ8fkONNNCxn8wDQw0yg@mail.gmail.com>
Mime-Version	1.0
Content-Type	text/plain; charset="UTF-8"
X-Trace	news.uni-berlin.de AGdkn9ca/SHfpS0174OPoAiuYtrGBQ6fCxTVVRF34x/A==
Return-Path	<robbmcleod@gmail.com>
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; 'expressions': 0.05; 'pypi': 0.05; 'dependency': 0.07; 'received:209.85.221': 0.07; 'subject:ANN': 0.07; 'suggestions,': 0.07; 'url-ip:162.242.198.235/32': 0.07; 'url-ip:162.242.198/24': 0.07; 'url-ip:162.242/16': 0.07; 'github': 0.09; 'url:pydata': 0.09; 'everyone,': 0.11; 'thread': 0.11; 'python.': 0.12; 'barrier': 0.16; 'bug-fix': 0.16; 'bugs,': 0.16; 'library),': 0.16; 'macosx.': 0.16; 'numpy': 0.16; 'numpy.': 0.16; 'to:addr :numpy-discussion': 0.16; 'to:addr:pydata': 0.16; 'url- ip:176.31/16': 0.16; '(but': 0.17; 'url-ip:176/8': 0.19; 'numerical': 0.21; '8bit%:5': 0.21; 'arrays': 0.25; 'ph.d.': 0.25; 'url-ip:151.101.0.223/32': 0.25; 'url-ip:151.101.128.223/32': 0.25; 'url-ip:151.101.192.223/32': 0.25; 'url- ip:151.101.64.223/32': 0.25; 'changes': 0.26; 'url- ip:151.101.192/24': 0.26; 'url-ip:151.101.0/24': 0.27; 'url- ip:151.101.128/24': 0.27; 'url-ip:151.101.64/24': 0.27; '(like': 0.27; 'robert': 0.27; 'fix': 0.28; '8bit%:9': 0.28; 'memory': 0.29; 'message-id:@mail.gmail.com': 0.29; 'url-ip:192.30/16': 0.31; 'url:io': 0.31; 'requiring': 0.32; 'received:google.com': 0.33; 'release.': 0.33; 'skip:= 20': 0.33; 'url:readthedocs': 0.33; 'at:': 0.33; 'url-ip:151.101/16': 0.34; 'url-ip:151/8': 0.34; 'skip:- 10': 0.34; '8bit%:13': 0.35; 'operate': 0.35; 'received:209.85': 0.37; 'allows': 0.37; 'url:en': 0.37; 'url:wiki': 0.37; 'hosted': 0.37; 'to:no real name:2**1': 0.37; 'to:addr:python-announce-list': 0.38; 'url-ip:192.30.253.112/32': 0.38; 'url-ip:192.30.253.113/32': 0.38; 'url-ip:192.30.253/24': 0.38; 'url:github': 0.38; 'skip:& 20': 0.38; 'mark': 0.38; 'doing': 0.38; 'received:209': 0.38; 'drop': 0.39; 'thanks': 0.39; 'url:org': 0.40; 'your': 0.60; 'solutions': 0.61; 'share': 0.61; 'more': 0.61; 'adopt': 0.62; 'announcing': 0.62; 'skip:2 30': 0.63; 'engine': 0.63; 'skip:o 10': 0.64; 'here': 0.64; 'skip:= 30': 0.67; 'enjoy': 0.74; 'have.': 0.75; 'heavy': 0.82
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=Rl0RhyFULqjzRqyHG6O04hVLT/KelYGO7KrIvm93+1A=; b=KeIg6RHIhSgfw4TNsjcoAi/2rEKDR8EaPjU0H6hmc6FDmcEgcOPu7ARxgwsNyXyEdn f3GSm7I0GjXbW4hrR4qGc8wT2UPy7mi8T7j94ByDaHqg/W3cI7faqesklRubTVJ3p7Y2 hZzFRmIgtCfRVEIL5RKBWHa0RcB3Jbol+G5qELOwdH4Rx2TbysikXKwg3r6mFhmKgNsg RaG/EKjkqVphvgbJK/+ygiE2XJhuytrKipltBwB1EbYBgLLnEXBdpUn5HH6hMwqAnGu+ jmFdQHbiferlRupnRkk61RfGiU8p/p8SB4qRd8vhQD1z59TAQ+RqNvYDl+1gPdk8Y7+Q DP5g==
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=Rl0RhyFULqjzRqyHG6O04hVLT/KelYGO7KrIvm93+1A=; b=eYz3Ox2dC5LKaOpARRZLoudI6xOlEeuWOrDW03HPV3ezsp/6i/4BT++zUTvL4CfbYl 8Se62RuzbmVL1Qt+BXvgLa+sJVHQNI+Nmt+tba7rTdrecc1jqblvw0zIFf+aGGBEm7iz ZhNd1ioR9KmIoH3Ofls+BJj1seiYQoxriHN4s9xkq5yGJbRWpaVUYaRqJ2jo52O+0fwH 8/8qRItDzZLOgENwPxjTqHwc9r+o0yrB4DTOrRCcMjy4bPQMa7KpjM8qFncy1APKX8wp RJ+SAPgOU7uTlBp0CVBqXAVnKdh4IV/45P2l0Srf9UXXZdD7PkfYExFPoLD1kYBeEwwg 3tMA==
X-Gm-Message-State	AOUpUlHSED+7usLEWbfMtfVFvW1H7CNkEo0zHjDVFR/9hQR+NK1PGuEU iX1k4ErI6WaUEjK1+Ryw1Fe4rLPET2DBaP3NI2lKCA==
X-Google-Smtp-Source	AAOMgpf91Fld78fU8arS1z2x/OkCFcK8urJ0swo6TSGZzikKFLgvpRN8UJKaXiieNd+jw29c33PjJAlwtizlIEdwYEk=
X-Received	by 2002:adf:aadb:: with SMTP id i27-v6mr12767754wrc.149.1531769995960; Mon, 16 Jul 2018 12:39:55 -0700 (PDT)
X-Mailman-Approved-At	Wed, 18 Jul 2018 03:36:15 -0400
X-Content-Filtered-By	Mailman/MimeDel 2.1.27
X-BeenThere	python-announce-list@python.org
X-Mailman-Version	2.1.27
Precedence	list
List-Id	Announcement-only list for the Python programming language <python-announce-list.python.org>
List-Unsubscribe	<https://mail.python.org/mailman/options/python-announce-list>, <mailto:python-announce-list-request@python.org?subject=unsubscribe>
List-Archive	<http://mail.python.org/pipermail/python-announce-list/>
List-Post	<mailto:python-announce-list@python.org>
List-Help	<mailto:python-announce-list-request@python.org?subject=help>
List-Subscribe	<https://mail.python.org/mailman/listinfo/python-announce-list>, <mailto:python-announce-list-request@python.org?subject=subscribe>
X-Mailman-Original-Message-ID	<CAEFUWWVqxgiu0y9-3z+1ifOPBDUMT8mJ8fkONNNCxn8wDQw0yg@mail.gmail.com>
Xref	csiph.com comp.lang.python.announce:2928

Show key headers only | View raw

==========================
 Announcing Numexpr 2.6.6
==========================

Hi everyone,

This is a bug-fix release. Thanks to Mark Dickinson for a fix to the thread
barrier that occassionally suffered from spurious wakeups on MacOSX.

Project documentation is available at:

http://numexpr.readthedocs.io/

Changes from 2.6.5 to 2.6.6
---------------------------

- Thanks to Mark Dickinson for a fix to the thread barrier that
occassionally
  suffered from spurious wakeups on MacOSX.

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
robert.mcleod@hitachi-hhtc.ca
www.entropyreduction.al

Back to comp.lang.python.announce | Previous | Next | Find similar | Unroll thread

Thread

ANN: Numexpr 2.6.6 Robert McLeod <robbmcleod@gmail.com> - 2018-07-16 12:39 -0700

csiph-web