Return-Path: X-Original-To: python-announce-list@python.org Delivered-To: python-announce-list@mail.python.org X-Spam-Status: OK 0.017 X-Spam-Evidence: '*H*': 0.97; '*S*': 0.00; 'url:pypi': 0.03; 'wiki': 0.03; 'open-source': 0.04; 'subject:ANN': 0.07; 'calculating': 0.09; 'integers': 0.09; 'tutorials,': 0.09; 'python': 0.11; 'project,': 0.12; 'stored': 0.12; 'random': 0.14; 'aiming': 0.16; 'conditional': 0.16; 'dice': 0.16; 'finite': 0.16; 'indicators': 0.16; 'lea': 0.16; 'pierre': 0.16; 'to:addr:python-announce-list': 0.16; 'examples': 0.20; 'example': 0.22; 'logical': 0.24; 'module,': 0.24; 'typical': 0.24; 'helpful': 0.24; 'possibly': 0.26; 'url:code': 0.29; 'operations.': 0.31; 'operators': 0.31; 'probability': 0.31; 'allows': 0.31; 'url:python': 0.33; 'announce': 0.33; 'could': 0.34; 'subject: (': 0.35; 'subject:skip:d 10': 0.36; 'url:org': 0.36; 'project': 0.37; '8bit%:4': 0.38; 'to:addr:python.org': 0.39; 'skip:p 20': 0.39; 'release': 0.40; 'then,': 0.60; 'range': 0.61; 'header:Message- Id:1': 0.63; 'sum': 0.64; 'url:p': 0.64; 'modeling': 0.65; 'here': 0.66; 'pleasure': 0.74; 'products,': 0.74; 'hoping': 0.75; 'aggregated': 0.84; 'discrete': 0.84; 'lightweight': 0.84; 'received:195.238': 0.84; 'received:195.238.6': 0.84; 'received:belgacom.be': 0.84; 'received:isp.belgacom.be': 0.84; 'uncertain': 0.84; '\xa0\xa0\xa0\xa0\xa0\xa0\xa0\xa0\xa0': 0.91 X-Belgacom-Dynamic: yes X-IronPort-Anti-Spam-Filtered: true X-IronPort-Anti-Spam-Result: ApoGAATOsFJbsepM/2dsb2JhbABZgwo4umEXdIIsCE4wBQYkPhoGHwEEHod9AaFytyWCZoE6BIkLhhOKKJBkgT2Bbzs From: "Pierre Denis" To: Subject: ANN: Lea 1.2 (discrete probability distributions) Date: Tue, 17 Dec 2013 23:24:07 +0100 MIME-Version: 1.0 Content-Type: text/plain; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable X-Mailer: Microsoft Office Outlook, Build 11.0.5510 Thread-Index: Ac77drOjqDgOh9ooQYuDj0uAPvpFLw== X-MimeOLE: Produced By Microsoft MimeOLE V6.0.6002.18463 X-Mailman-Approved-At: Wed, 18 Dec 2013 13:20:06 +0100 X-BeenThere: python-announce-list@python.org X-Mailman-Version: 2.1.15 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: 43 NNTP-Posting-Host: 2001:888:2000:d::a6 X-Trace: 1387369207 news.xs4all.nl 2966 [2001:888:2000:d::a6]:33442 X-Complaints-To: abuse@xs4all.nl Path: csiph.com!usenet.pasdenom.info!news.stben.net!border3.nntp.ams.giganews.com!border1.nntp.ams.giganews.com!nntp.giganews.com!newsfeed.xs4all.nl!newsfeed3.news.xs4all.nl!xs4all!post.news.xs4all.nl!not-for-mail Xref: csiph.com comp.lang.python.announce:1167 I have the pleasure to announce the release of Lea 1.2.=A0 Lea is a Python package aiming at working with discrete probability=A0distributions in an intuitive way.=A0 It allows modeling a broad range of random discrete phenomenon's. Then, it=A0allows calculating probabilities of events, whether atomic, = aggregated or=A0combined through given operations. A typical example is the = probabilities of=A0the sum of N dice having known, possibly unfair, probability distributions.=A0 Features=A0 --------=A0 Here are the main features of Lea:=A0 - models finite discrete probability distributions=A0 - standard distribution indicators (mean, standard deviation,.)=A0 - arithmetic and logical operators on probability distribution=A0 - cartesian products, conditional probabilities, joint distributions=A0 - generation of random samples=A0 - open-source project, LGPL license=A0 - pure Python module, lightweight - no package dependency=A0 - probabilities stored as integers (no floating-point biases)=A0 Links=A0 -----=A0 Download (PyPi): =A0=A0=A0=A0=A0=A0=A0=A0http://pypi.python.org/pypi/lea=A0 Project page: =A0=A0=A0=A0=A0=A0=A0=A0http://code.google.com/p/lea/=A0 (with wiki documentation including tutorials, examples and API)=A0 Hoping this could be helpful in this uncertain universe...=A0 Pierre Denis=A0