[Python-announce] ANN: Lea 4.1.0 released!
Pierre Denis via Python-announce-list <[email protected]> Mon, 15 Jun 2026 22:56:00 +0200
| Newsgroups | gmane.comp.python.announce |
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| Message-ID | <[email protected]> |
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 _______________________________________________ Python-announce-list mailing list -- [email protected] To unsubscribe send an email to [email protected] https://mail.python.org/mailman3//lists/python-announce-list.python.org Member address: [email protected]