Path: csiph.com!fu-berlin.de!uni-berlin.de!not-for-mail From: Charles R Harris Newsgroups: comp.lang.python.announce Subject: NumPy 1.12.0rc2 release. Date: Sun, 1 Jan 2017 17:04:08 -0700 Lines: 29 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 06flo5eYvYJhlzxZdZmc5gRSJYV6PqgHtP8fc3E1oarQ== Return-Path: X-Original-To: python-announce-list@python.org Delivered-To: python-announce-list@mail.python.org X-Spam-Status: OK 0.001 X-Spam-Evidence: '*H*': 1.00; '*S*': 0.00; 'url:pypi': 0.03; 'warnings': 0.04; 'context': 0.05; 'url:github': 0.05; '<>,': 0.07; 'fixes': 0.07; 'pypy': 0.07; 'python': 0.09; 'contributors': 0.09; 'tarball': 0.09; 'url:releases': 0.09; '2.7': 0.13; '<>.': 0.13; 'comprises': 0.16; 'enjoy,': 0.16; 'hashes': 0.16; 'numpy': 0.16; 'url:tag': 0.16; 'argument': 0.18; '(not': 0.20; 'downloaded': 0.20; 'all,': 0.21; 'versions': 0.22; 'skip:` 10': 0.22; "year's": 0.23; 'requests': 0.25; 'testing': 0.25; 'message- id:@mail.gmail.com': 0.25; "i'm": 0.28; 'operations': 0.28; 'announce': 0.29; 'supported': 0.29; 'core': 0.30; 'url:python': 0.31; 'url:action': 0.32; 'received:google.com': 0.32; 'but': 0.34; 'release': 0.35; 'url:org': 0.36; 'url:%3a': 0.37; 'files': 0.37; 'likely': 0.38; 'large': 0.39; 'url:12': 0.39; 'to:addr:python.org': 0.39; 'proto:https': 0.40; 'received:io': 0.40; 'received:psf.io': 0.40; 'skip:n 10': 0.63; 'interest': 0.64; 'future': 0.64; 'areas': 0.67; 'to:addr:python-announce- list': 0.71; 'improved': 0.76; 'chuck': 0.84; 'standing': 0.84; 'url:v1': 0.84; 'sfxlen:1': 0.91 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=UBDwLCY+6L/AUD5gnMS5XcUfw6odowUqrNtw8FNvJ0g=; b=pEgHdCHsg40SSiRpdMRpAoZBBWG7wAlb0ev//XEFsOSTZ7RxcmUTsPbZv0z7aWz0wc pauQEGcxuNnFoutu+570EkDAvmtNzvN+ErVRodQqmVPRa2nBTENFWrsf30tdAcXUyqp1 M/GuptAEZigG2En52ryXorFpjJiO1O+X7E4EczKK5AXYbEkgsRrZ64C49DnICmv0a6aK izjFADt7g8xr8E0qnsgC/ApmLVz28ZV8pgtPw6CuKfnzYTTnyUpNaqrvBt/eqKjkHBIM tF2ZEPh30qhbB5XVegJ85JekZV1F3yJ5svqU8T4AaokvU8Oh7yQaixejmlRPhgApt/sz nmMg== 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=UBDwLCY+6L/AUD5gnMS5XcUfw6odowUqrNtw8FNvJ0g=; b=IY0UCgKiPe0vAZgkFZyOCJmH+nsvcrgWN7QGpWwrqkLNNC1U7S4AHj3fC+hNGBxng0 TbGe80aJs0NFIajXVdYQSVSlD/8QaeCgyM3ou5zWxNaZfEzkvxy2x1jeMmsWzcuNfrXq aQBRs1yDMPYzuXkeQWJ4v8mxr1JtZOIte2d8KDgRx8a5TUibG5vfuvNd/A+Wv3nOtfW+ S27PTEdgmMyvHywrgf1F6juRZPwa7JUKxOcVW55K+hJgapZScjjJAOkx/PhUk6kLPdAC aGP9P02py8Wb2h0a71wii3JozEoJdKXqVx59ckRGdXu7zk2OKQdw33744B41GBMXeWpe JLIQ== X-Gm-Message-State: AIkVDXIKuUXMu7CaRO5LGgoxgZYInbeCgMW8Hj4AOmM+TM2JKCnaFrT2kptSsHn4bRMuLnfmR4neEIzCoH8brA== X-Received: by 10.176.86.205 with SMTP id c13mr35009750uab.151.1483315449042; Sun, 01 Jan 2017 16:04:09 -0800 (PST) X-Mailman-Approved-At: Fri, 06 Jan 2017 03:48:45 -0500 X-Content-Filtered-By: Mailman/MimeDel 2.1.23 X-BeenThere: python-announce-list@python.org X-Mailman-Version: 2.1.23 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:2358 Hi All, I'm pleased to announce the NumPy 1.12.0rc2 New Year's release. This release supports Python 2.7 and 3.4-3.6. Wheels for all supported Python versions may be downloaded from PiPY , the tarball and zip files may be downloaded from Github . The release notes and files hashes may also be found at Github . NumPy 1.12.0rc 2 is the result of 413 pull requests submitted by 139 contributors and comprises a large number of fixes and improvements. Among the many improvements it is difficult to pick out just a few as standing above the others, but the following may be of particular interest or indicate areas likely to have future consequences. * Order of operations in ``np.einsum`` can now be optimized for large speed improvements. * New ``signature`` argument to ``np.vectorize`` for vectorizing with core dimensions. * The ``keepdims`` argument was added to many functions. * New context manager for testing warnings * Support for BLIS in numpy.distutils * Much improved support for PyPy (not yet finished) Enjoy, Chuck