Path: csiph.com!x330-a1.tempe.blueboxinc.net!usenet.pasdenom.info!aioe.org!feeder.news-service.com!news2.euro.net!newsgate.cistron.nl!newsgate.news.xs4all.nl!194.109.133.85.MISMATCH!newsfeed.xs4all.nl!newsfeed6.news.xs4all.nl!xs4all!post.news.xs4all.nl!not-for-mail Return-Path: X-Original-To: python-announce-list@python.org Delivered-To: python-announce-list@mail.python.org X-Spam-Status: OK 0.006 X-Spam-Evidence: '*H*': 0.99; '*S*': 0.00; 'subject:ANN': 0.02; 'skip:` 10': 0.07; 'url:googlecode': 0.07; 'python': 0.07; 'url:pypi': 0.09; 'development:': 0.09; 'url:packages': 0.09; 'api': 0.11; 'url:code': 0.11; 'computing': 0.11; 'library': 0.15; 'cea': 0.16; 'numpy': 0.16; 'oblique': 0.16; 'released.': 0.16; 'scipy,': 0.16; 'to:addr:scipy-user': 0.16; 'to:addr:scipy.org': 0.16; 'url:changelog': 0.16; 'framework': 0.16; 'sections': 0.16; 'subject:] ': 0.16; 'modules': 0.20; 'cheers,': 0.20; 'compared': 0.22; 'platforms.': 0.23; 'url:wiki': 0.24; 'example': 0.24; 'version': 0.25; 'downloads': 0.25; 'index': 0.25; 'integration': 0.26; 'windows': 0.26; 'scientific': 0.29; 'alternatives': 0.29; '---': 0.31; 'filtering': 0.31; 'real-time': 0.31; 'url:detail': 0.31; 'are:': 0.31; 'all,': 0.31; 'cross': 0.33; 'url:downloads': 0.33; 'module': 0.33; 'test': 0.33; '(for': 0.33; 'subject:[': 0.34; 'change': 0.34; 'executable': 0.35; 'received:132': 0.35; 'processing': 0.37; 'data': 0.37; 'page:': 0.37; 'url:python': 0.37; 'to:addr:python-announce-list': 0.38; 'install': 0.38; 'user': 0.38; 'but': 0.38; 'url:google': 0.38; 'url:org': 0.38; 'log': 0.38; 'signal': 0.39; 'announce': 0.39; 'to:addr:python.org': 0.39; 'tested': 0.40; 'from:no real name:2**0': 0.60; 'here:': 0.61; 'to:2**2': 0.61; 'perfect': 0.62; 'making': 0.62; 'url:p': 0.63; 'dr.': 0.68; 'pleased': 0.68; 'to:addr:googlegroups.com': 0.69; 'to:no real name:2**2': 0.70; 'url:png': 0.70; 'demo': 0.73; 'advantages': 0.77; 'averaged': 0.84; 'performance:': 0.84; 'url:zip': 0.84; 'contrast': 0.91 X-MimeOLE: Produced By Microsoft Exchange V6.5 Content-class: urn:content-classes:message MIME-Version: 1.0 Content-Type: text/plain; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable Subject: [ANN] guiqwt v2.1.3 Date: Fri, 6 May 2011 10:28:56 +0200 X-MS-Has-Attach: X-MS-TNEF-Correlator: Thread-Topic: [ANN] guiqwt v2.1.3 Thread-Index: ActLgX/q0NKdYDxURTWVvRvfcKQU8A== From: To: , , , , X-OriginalArrivalTime: 06 May 2011 08:28:56.0466 (UTC) FILETIME=[A3FE6F20:01CC0BC7] X-Mailman-Approved-At: Fri, 06 May 2011 18:31:10 +0200 X-BeenThere: python-announce-list@python.org X-Mailman-Version: 2.1.12 Precedence: list Reply-To: python-list@python.org List-Id: Announcement-only list for the Python programming language List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , Approved: python-announce-list@python.org Newsgroups: comp.lang.python.announce Message-ID: Lines: 74 NNTP-Posting-Host: 82.94.164.166 X-Trace: 1304699473 news.xs4all.nl 81479 [::ffff:82.94.164.166]:59459 X-Complaints-To: abuse@xs4all.nl Xref: x330-a1.tempe.blueboxinc.net comp.lang.python.announce:126 Hi all, I am pleased to announce that `guiqwt` v2.1.3 has been released. Based on PyQwt (plotting widgets for PyQt4 graphical user interfaces) = and on the scientific modules NumPy and SciPy, guiqwt is a Python = library providing efficient 2D data-plotting features (curve/image = visualization and related tools) for interactive computing and = signal/image processing application development. Complete change log is now available here: http://code.google.com/p/guiqwt/wiki/ChangeLog Documentation with examples, API reference, etc. is available here: http://packages.python.org/guiqwt/ This version of `guiqwt` includes a demo software, Sift (for Signal and = Image Filtering Tool), based on `guidata` and `guiqwt`: http://packages.python.org/guiqwt/sift.html Windows users may even download the portable version of Sift 0.2.3 to = test it without having to install anything: http://code.google.com/p/guiqwt/downloads/detail?name=3Dsift023_portable.= zip When compared to the excellent module `matplotlib`, the main advantages = of `guiqwt` are: * Performance: see = http://packages.python.org/guiqwt/overview.html#performances * Interactivity: see for example = http://packages.python.org/guiqwt/_images/plot.png * Powerful signal processing tools: see for example = http://packages.python.org/guiqwt/_images/fit.png * Powerful image processing tools: * Real-time contrast adjustment: = http://packages.python.org/guiqwt/_images/contrast.png * Cross sections (line/column, averaged and oblique cross = sections!): http://packages.python.org/guiqwt/_images/cross_section.png * Arbitrary affine transforms on images: = http://packages.python.org/guiqwt/_images/transform.png * Interactive filters: = http://packages.python.org/guiqwt/_images/imagefilter.png * Geometrical shapes/Measurement tools: = http://packages.python.org/guiqwt/_images/image_plot_tools.png * Perfect integration of `guidata` features for image data editing: = http://packages.python.org/guiqwt/_images/simple_window.png But `guiqwt` is more than a plotting library; it also provides: * Framework for signal/image processing application development: see = http://packages.python.org/guiqwt/examples.html * And many other features like making executable Windows programs = easily (py2exe helpers): see = http://packages.python.org/guiqwt/disthelpers.html guiqwt has been successfully tested on GNU/Linux and Windows platforms. Python package index page: http://pypi.python.org/pypi/guiqwt/ Documentation, screenshots: http://packages.python.org/guiqwt/ Downloads (source + Python(x,y) plugin): http://guiqwt.googlecode.com Cheers, Pierre --- Dr. Pierre Raybaut CEA - Commissariat =E0 l'Energie Atomique et aux Energies Alternatives