I have the pleasure to announce the release of Lea 1.2.  Lea is a Python package aiming at working with discrete probability  distributions in an intuitive way.  It allows modelling a broad range of random discrete phenomenons. Then, it  allows calculating probabilities of events, whether atomic, aggregated or  combined through given operations. A typical example is the probabilities of  the sum of N dice having known, possibly unfair, probability distributions.  Features  --------  Here are the main features of Lea:  - 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  - pure Python module, lightweight - no package dependency  - probabilities stored as integers (no floating-point biases)  Links  -----  Download (PyPi):        http://pypi.python.org/pypi/lea  Project page:        http://code.google.com/p/lea/  (with wiki documentation including tutorials, examples and API)  Hoping this could be helpful in this uncertain universe...  Pierre Denis