Path: csiph.com!fu-berlin.de!uni-berlin.de!not-for-mail From: Charles R Harris Newsgroups: comp.lang.python.announce Subject: NumPy 1.12.0 release Date: Sun, 15 Jan 2017 16:43:41 -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 3DOYNObEmbTgVPaFkILEZwA+yh7mnF3ROadxM20fdGaw== 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; 'subject:release': 0.22; '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; 'url:0': 0.61; '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=VtUvm0Iy6gvxespYyhqAH9UdQKiN7Ufb9LkfLL2gPng=; b=bH1ZTIp3aX8dW7xBWPeahLV6vcdaitM+s4XCyPluBZnBSnZSAvZig3mQ1w3duQPN7l zvv11HX4NF0Vj78OoS8o6LDdBXQsfb7OPdZKeZJqLptiFqoCibs6e3nhS0KrwPyhqnjJ WhOTShgusXLr3rpL6yjJdxk4mJu86aPrPTN7Z7BaqoVUxUZs9NhBW06eCuOVHmQGJjgb g/xzosGw/oFsdmAlBmDnqwgMg462FpPVggGxiv1ufA2wc8GuaccarpL8rRYJ8IPKT8pw hIj7iGhJMJc81Q0SAOVYxwvqkzqepvHybHdDgLYocfaaGB5CAqrcbS/8tPtxzo7BJJ8z fxjg== 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=VtUvm0Iy6gvxespYyhqAH9UdQKiN7Ufb9LkfLL2gPng=; b=lNE/lXcubF8qGpqh4aEQsewXsOYJBb+L6I++HEiNXhBIK5oJCRfLDoZHousbuSKEXy yKBGRNxzkyf/93EEYu/lsb1R2wNyk1A+g93ExhUdrRu8EeuwPa2KJBkgNBWGuvPP/hzK +97J4nKuUtes6zfNeDtm9yPTRgC0nwJoThSlzW70xz18KFyiQg0HUF4clxSiy89EhP+l HItD3rBY1HlGEfpGshv4tqSM2E6B777GRce3cF3xi9YXWX7U1pw/KlCkbCbY8ffiKhH8 no4Mecm0o19QP0WVl5MUslR+o/hUCeAkMBzQ8h3nFMjgByG9CDIYpyQ1O+KB/jVX30+b HQHQ== X-Gm-Message-State: AIkVDXIK9XzOMfmtHF2VhZqnfIno235zOznKPzBYpJX3U8EzFGz9jqzB5Kb4KRxN3Ov5YqeijUVC5SgKgR5/8g== X-Received: by 10.13.197.68 with SMTP id h65mr23108076ywd.84.1484523821581; Sun, 15 Jan 2017 15:43:41 -0800 (PST) X-Mailman-Approved-At: Mon, 16 Jan 2017 03:43:27 -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:2377 Hi All, I'm pleased to announce the NumPy 1.12.0 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 418 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