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PyMC implements a suite of Markov chain Monte Carlo (MCMC) sampling algorithms making it extremely flexible, extensible and applicable to a large suite of statistical modeling problems. PyMC's clear, concise syntax allows scientists to flexibly implement Bayesian models without hand-coding samplers.