ANN: Lea 1.1 (discrete probability distributions)

[Pierre Denis]

I have the pleasure to announce the release of Lea 1.1.

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
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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
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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