Bayesian Modeling With Pymc3 And Exploratory Analysis Of Bayesian Models With Arviz Key Features A Step-by-step Guide To Conduct Bayesian Data Analyses Using Pymc3 And Arviz A Modern, Practical And Computational Approach To Bayesian Statistical Modeling A Tutorial For Bayesian Analysis And Best Practices With The Help Of Sample Problems And Practice Exercises. Book Description The Second Edition Of Bayesian Analysis With Python Is An Introduction To The Main Concepts Of Applied Bayesian Inference And Its Practical Implementation In Python Using Pymc3, A State-of-the-art Probabilistic Programming Library, And Arviz, A New Library For Exploratory Analysis Of Bayesian Models. The Main Concepts Of Bayesian Statistics Are Covered Using A Practical And Computational Approach.