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Discrete probability distributions in Python

Project Description

Lea is a Python package aiming at working with discrete probability distributions in an intuitive way. It allows you to model a broad range of random phenomena, like dice throwing, coin tossing, gambling, weather, finance, etc. More generally, Lea may be used for any finite set of discrete values having known probability: numbers, booleans, date/times, symbols, … Each probability distribution is modeled as a plain object, which can be named, displayed, queried or processed to produce new probability distributions.

Lea also provides advanced functions that target Probabilistic Programming (PP); these include conditional probabilities, Bayes inference and Markov chains. To ease interactive calculations, an optional PP language (PPL), called “Leapp”, is included in the package; it extends Python syntax with few constructs to define and manipulate probabilistic models in an extremely concise way.

To install this beta version of Lea, type the following command:

pip install lea==2.3.4

Please go on project home page below for a comprehensive documentation.

Release History

Release History

This version
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2.3.4

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2.3.2

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2.3.1

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2.2.0

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2.2.0-beta.8

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2.2.0-beta.7

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2.2.0-beta.6

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2.2.0-beta.5

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2.2.0-beta.4

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2.2.0-beta.3

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2.2.0-beta.2

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2.2.0-beta.1

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2.1.2

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2.1.1

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2.1.0

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2.0.0

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2.0.0-beta.6

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2.0.0-beta.5

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2.0.0-beta.4

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2.0.0-beta.3

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2.0.0-beta.2

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2.0.0-beta.1

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1.3.1

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1.3

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1.2

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1.1

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0.4

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0.3

Download Files

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
lea-2.3.4.tar.gz (64.6 kB) Copy SHA256 Checksum SHA256 Source May 1, 2017

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