Lea, discrete probability distributions in Python

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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)

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http://pypi.python.org/pypi/lea http://pypi.python.org/pypi/lea

Project page / documentation

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http://code.google.com/p/lea/ 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