Lea, discrete probability distributions in Python ================================================= 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) =============== <http://pypi.python.org/pypi/lea> http://pypi.python.org/pypi/lea Project page / documentation ============================ <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  opensource project, LGPL license  runs on Python 2.x and 3.x  pure Python module, lightweight  no package dependency  probabilities stored as rationals (no floatingpoint biases) Hoping Lea could be helpful in this uncertain universe... Pierre Denis
participants (1)

Pierre Denis