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Learning pandas - Second Edition by Michael Heydt

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PyMC - stochastic Bayesian modeling

PyMC (https://github.com/pymc-devs/pymc) is a Python module that implements Bayesian statistical models and fitting algorithms, including Markov chain Monte Carlo. Its flexibility and extensibility make it applicable to a large number of problems. Along with core sampling functionality, PyMC includes methods for summarizing output, plotting, goodness of fit, and convergence diagnostics.

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