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| From | "Pierre Denis" <pie.denis@skynet.be> |
| To | <python-announce-list@python.org> |
| Subject | ANN: Lea 1.2 (discrete probability distributions) |
| Date | Tue, 17 Dec 2013 23:24:07 +0100 |
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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 modeling a broad range of random discrete phenomenon's. 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
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ANN: Lea 1.2 (discrete probability distributions) "Pierre Denis" <pie.denis@skynet.be> - 2013-12-17 23:24 +0100
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