I am pleased to announce the release of Lea 2.1.2! There are NO known open bug in this version. Please note the migration of the project to Bitbucket (see URL below), due to the approaching end of Google Code.
Lea is a Python package aiming at working with discrete probability distributions in an intuitive way. It allows you to model a broad range of random phenomenons, like dice throwing, coin tossing, gambling, weather, etc. It offers several modelling features of a PPL (Probabilistic Programming Language), including bayesian inference and Markov chains. Lea is open-source (LGPL) and runs on Python 2 or 3. See project page below for more information (installation, tutorials, examples, etc).
With the hope that Lea can make your fun less uncertain,