PyMC3 is a probabilistic programming library for Bayesian and Markov chain Monte Carlo (MCMC) sampling in Python. It provides a variety of tools for model specification, inference, and visualization, including Markov chain Monte Carlo (MCMC) methods like the No-U-Turn Sampler (NUTS). PyMC3 is particularly well-suited for Bayesian network learning and inference.