ANN: Lea 1.3.1 released

[Pierre Denis]

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 
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- 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