# Welcome to PyMC Discourse

**URL:** <https://discourse.pymc.io/t/welcome-to-pymc-discourse/8>\
**Category:** General\
**Created:** [May 31, 2017, 4:44am UTC](https://discourse.pymc.io/t/welcome-to-pymc-discourse/8 "2017-05-31T04:44:14Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![system](https://canada1.discourse-cdn.com/flex036/uploads/pymc3/original/1X/b931b8b5cde86788e63398773b4c9beb2b109028.png) [@system](https://discourse.pymc.io/u/system)\
**Post date:** [May 31, 2017, 4:44am UTC](https://discourse.pymc.io/t/welcome-to-pymc-discourse/8/1 "2017-05-31T04:44:14Z")

</div>

Welcome to PyMC Discourse, a place to discuss Bayesian Computation using PyMC, and probabilistic modelling in general.

PyMC is a Python package for Bayesian Statistical Modeling and Probabilistic Machine Learning which focuses on advanced Markov chain Monte Carlo and variational fitting algorithms. It relies on [Aesara](https://aesara.readthedocs.io) for computation optimisation and dynamic C compilation.

More information about PyMC could be found on [the website](https://docs.pymc.io) and [Github](https://github.com/pymc-devs/pymc).

The development of this community is still in progress; we are looking forward to your contributions!