From Newsgroup: comp.lang.python.announce
Lea 4.1.0 is now released!
https://pypi.org/project/lea/
What is Lea?
-----------------
Lea is a Python module for playing with discrete probability distributions
in an intuitive way. This ranges from simple coin flipping, random sampling
to Bayesian networks, Probabilistic Programming (PP), machine learning and symbolic computation. One salient feature of Lea is the ability to change
the probability representation, viz. float, fractions, decimals, and
symbols. Lea can be used for education, AI, PP, etc. Comprehensive tutorials are available online (see Wiki pages).
What's new in Lea 4.1.0?
---------------------------------
Apart from minor bug fixes or improvements, the major changes since Lea
4.1.0 concern *documentation*:
* Long-awaited. there is now an online documentation of lea module
(autodoc):
https://lea.readthedocs.io
* the tutorials / examples have been migrated and improved; missing images
have been restored:
https://qsor.atlassian.net/wiki/spaces/Lea/pages/524291/Lea+Home
To learn more...
----------------------
Lea on PyPI:
https://pypi.org/project/lea
Lea project page:
https://bitbucket.org/piedenis/lea
Lea module doc:
https://lea.readthedocs.io <
https://lea.readthedocs.io/>
Lea home page:
https://qsor.atlassian.net/wiki/spaces/Lea/pages/524291/Lea+Home
. For a 5' tour, check out the poster presented at PROBPROG2020 conference:
https://probprog.cc/2020/assets/posters/fri/69.pdf .
With the hope that Lea can make this universe less erratic,
Pierre Denis
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