Path: csiph.com!usenet.pasdenom.info!weretis.net!feeder4.news.weretis.net!feeds.phibee-telecom.net!newsfeed.xs4all.nl!newsfeed1.news.xs4all.nl!xs4all!newsgate.cistron.nl!newsgate.news.xs4all.nl!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 0.019 X-Spam-Evidence: '*H*': 0.96; '*S*': 0.00; 'url:pypi': 0.03; 'open- source': 0.04; 'subject:ANN': 0.07; 'subject:released': 0.07; 'calculating': 0.09; 'dependency': 0.09; 'runs': 0.10; 'python': 0.11; 'project,': 0.12; 'stored': 0.12; 'random': 0.14; 'conditional': 0.16; 'dice': 0.16; 'finite': 0.16; 'indicators': 0.16; 'lea': 0.16; 'new:': 0.16; 'pierre': 0.16; 'to:addr:python- announce-list': 0.16; 'skip:= 10': 0.16; 'example': 0.22; '2.x': 0.24; 'logical': 0.24; 'module,': 0.24; 'typical': 0.24; 'helpful': 0.24; 'define': 0.26; 'possibly': 0.26; 'url:code': 0.29; '3.x': 0.31; 'operations.': 0.31; 'operators': 0.31; 'probability': 0.31; 'skip:= 20': 0.31; 'skip:= 40': 0.31; 'allows': 0.31; 'url:python': 0.33; 'announce': 0.33; 'could': 0.34; 'url:rec-html40': 0.35; 'charset:us-ascii': 0.36; 'url:org': 0.36; 'project': 0.37; 'to:addr:python.org': 0.39; 'release': 0.40; 'then,': 0.60; 'range': 0.61; 'header:Message-Id:1': 0.63; 'sum': 0.64; 'url:p': 0.64; 'license': 0.66; 'received:109': 0.72; '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:195.238.6.173': 0.84; 'received:belgacom.be': 0.84; 'received:isp.belgacom.be': 0.84; 'received:mailrelay007.isp.belgacom.be': 0.84; 'uncertain': 0.84 X-Belgacom-Dynamic: yes X-IronPort-Anti-Spam-Filtered: true X-IronPort-Anti-Spam-Result: ApQGALIvH1RtgnZ6/2dsb2JhbABggkhGU8hTgWeIUBcBeYQKCE4wBQYkPhoGHwEEHog3AZ46tTqCcIFFBYUNAoxIWoNeiGiTcYFHghw7gnkBAgM From: "Pierre Denis" To: Subject: ANN: Lea 1.3.1 released Date: Sun, 21 Sep 2014 22:13:04 +0200 MIME-Version: 1.0 X-Mailer: Microsoft Office Outlook, Build 11.0.5510 Thread-Index: Ac/V2HMypHNe8ZsKQDalcD7Ov2DdyA== X-MimeOLE: Produced By Microsoft MimeOLE V6.0.6002.18463 X-Mailman-Approved-At: Mon, 22 Sep 2014 08:21:45 +0200 Content-Type: text/plain; charset="us-ascii" Content-Transfer-Encoding: 7bit X-Content-Filtered-By: Mailman/MimeDel 2.1.15 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: 59 NNTP-Posting-Host: 2001:888:2000:d::a6 X-Trace: 1411366906 news.xs4all.nl 2872 [2001:888:2000:d::a6]:34397 X-Complaints-To: abuse@xs4all.nl Xref: csiph.com comp.lang.python.announce:1407 Lea, discrete probability distributions in Python ================================================= I have the pleasure to announce the release of Lea 1.3.1. NEW: Lea now runs on Python 3 (and still on Python 2.x) ! Lea is a Python package that allows you to define and play with discrete probability distributions in an intuitive way. Lea can model a broad range of random discrete phenomenons. Then, it allows calculating probabilities of events, whether atomic, aggregated or combined through operations. A typical example is the probabilities of the sum of N dice having known, possibly unfair, probability distributions. Download (PyPi) =============== http://pypi.python.org/pypi/lea Project page / documentation ============================ http://code.google.com/p/lea/ Features ======== - models finite discrete probability distributions - standard distribution indicators (mean, standard deviation,.) - arithmetic and logical operators on probability distribution - cartesian products, conditional probabilities, joint distributions - generation of random samples - open-source project, LGPL license - runs on Python 2.x and 3.x - pure Python module, lightweight - no package dependency - probabilities stored as rationals (no floating-point biases) Hoping Lea could be helpful in this uncertain universe... Pierre Denis