Path: csiph.com!fu-berlin.de!uni-berlin.de!not-for-mail From: Gregory Lee Newsgroups: comp.lang.python.announce Subject: ANN: PyWavelets v0.5.0 release Date: Thu, 3 Nov 2016 13:24:36 -0400 Lines: 43 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 urReAiq4SW2vlLeGfoB1eAzxtSJS+SRjEoyzfPK3rTtA== 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; 'enabling': 0.05; 'url:github': 0.05; 'subject:ANN': 0.07; 'python': 0.09; '(additional': 0.09; 'contributors': 0.09; 'underlying': 0.09; 'url:releases': 0.09; '2.7': 0.13; '0.5.0': 0.16; 'inverse': 0.16; 'low-level': 0.16; 'numpy': 0.16; 'refactoring': 0.16; 'stationary': 0.16; 'toolbox': 0.16; 'implementing': 0.18; 'made.': 0.18; 'transform': 0.18; 'extension': 0.20; 'features,': 0.22; 'subject:release': 0.22; 'url:io': 0.23; 'message-id:@mail.gmail.com': 0.25; 'are:': 0.27; 'convert': 0.27; 'always,': 0.29; 'consistency': 0.29; 'announce': 0.29; 'code': 0.30; 'at:': 0.31; 'work.': 0.31; 'url:python': 0.31; 'array': 0.32; 'received:google.com': 0.32; 'url:en': 0.33; 'release': 0.35; 'url:org': 0.36; 'behalf': 0.36; 'faster': 0.36; 'mode': 0.36; 'subject:: ': 0.36; 'sources': 0.37; '8bit%:14': 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; 'details': 0.62; 'skip:n 10': 0.63; 'forward': 0.63; 'high': 0.63; 'continuous': 0.71; 'to:addr:python-announce-list': 0.71; 'discrete': 0.84; 'routines': 0.84 DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=mime-version:from:date:message-id:subject:to; bh=N8rrylZKGoHnCRnIDJEnfp6C9c3AwT1PF9bZb2Ji5L0=; b=heqvhAy0X9sJh9LA85XA3h2wU4gae1Pyo+9z1oF3fEqvETwOwybpZBQuyBlH8OAFlc cP2yH5TOe/rCxuVtA+xzKq6QlsctfSevydLjeDNHKv6GSa2gBrdu5o4VQhRUxv/JR8NH yFMUBbDOwg9R4pgpTK79iWcacbbfLW+2ApKmfO961vPo80DUp/ABJaacuprJSsbnMXHM ySVXzgeDaeunNQDgvA2czsR96dm6B5mgELAAVjWTkGBskuNeE/KnkIz2Wx7R4NHLI0kG pDVkFhrHXijgJ0VXvyOoB5bwgljl7s5QahtpFV6yG6aJwGyMegV+OyMZovrHEgEzp2wY 1jPw== X-Google-DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=1e100.net; s=20130820; h=x-gm-message-state:mime-version:from:date:message-id:subject:to; bh=N8rrylZKGoHnCRnIDJEnfp6C9c3AwT1PF9bZb2Ji5L0=; b=lnfYxDmImLI27ILFxwYcxd4c3RHmgAiMi6a9UzT1zzhkJtZKbENCBMCN4DHArKhC4G Bg/h78gv4s7iW1Ia6+mb2U/zTuIr7BGDBJpGy1v2sv+zfGBOk0aWvPzAQ73BlLMHS8Vh yFx9u/zz+BV2z97oUXDksuZybKbCxI++woCldHvB4wiNsvbcA1BUimrNyqUEhrYa8yQx zxdDvZ07dbfjint7DfcvlP2IS4Pu+Xfkjmt2v+TOUkRBzmHXKpyqIebp8Ui8Z8rZiSml DRb/8kq8Ko1nxhI5opFR2cbcYo2RIVI6qdT+gwIPrvaesYihRqQiCZ38g0JC9KK1PF1r sxSg== X-Gm-Message-State: ABUngvdf5Om06gLVATCG0imYF8C/g2d8M5txHcl2WX4I8TqgfYmXzVVu4yM81xSL4rn78f5SIfsZKLWhSD40lA== X-Received: by 10.55.16.134 with SMTP id 6mr10729070qkq.76.1478193877028; Thu, 03 Nov 2016 10:24:37 -0700 (PDT) X-Mailman-Approved-At: Thu, 03 Nov 2016 13:40:08 -0400 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:2301 On behalf of the PyWavelets development team I am pleased to announce the release of PyWavelets 0.5.0. PyWavelets is a Python toolbox implementing both discrete and continuous wavelet transforms (mathematical time-frequency transforms) with a wide range of built-in wavelets. C/Cython are used for the low-level routines, enabling high performance. Key Features of PyWavelets are: * 1D, 2D and nD Forward and Inverse Discrete Wavelet Transform (DWT and IDWT) * 1D, 2D and nD Multilevel DWT and IDWT * 1D and 2D Forward and Inverse Stationary Wavelet Transform * 1D and 2D Wavelet Packet decomposition and reconstruction * 1D Continuous Wavelet Transform * When multiple valid implementations are available, we have chosen to maintain consistency with MATLAB's Wavelet Toolbox. PyWavelets 0.5.0 is the culmination of 1 year of work. In addition to several new features, substantial refactoring of the underlying C and Cython code have been made. Highlights of this release include: - 1D continuous wavelet transforms - new discrete wavelets added (additional Debauchies and Coiflet wavelets) - new 'reflect' extension mode for discrete wavelet transforms - faster performance for multilevel forward stationary wavelet transforms (SWT) - n-dimensional support added to forward SWT - routines to convert multilevel DWT coefficients to and from a single array - axis support for multilevel DWT - substantial refactoring/reorganization of the underlying C and Cython code Full details in the release notes at: http://pywavelets.readthedocs.io/en/latest/release.0.5.0.html This release requires Python 2.6, 2.7 or 3.3-3.5 and Numpy 1.9.1 or greater. Sources can be found on https://pypi.python.org/pypi/PyWavelets and https://github.com/PyWavelets/pywt/releases. As always, new contributors are welcome to join us at https://github.com/PyWavelets/pywt