PyMC Probabilistic Programming Purpose Provides PyMC capabilities for flexible Bayesian modeling and probabilistic programming in Python. Capabilities - Hierarchical model specification - Custom distributions - Gaussian processes - MCMC and variational inference - Model diagnostics - ArviZ integration for visualization Usage Guidelines 1. Model Building : Use PyMC context managers 2. Custom Distributions : Define distributions when needed 3. Hierarchical Models : Build proper hierarchical structures 4. Visualization : Use ArviZ for diagnostic plots Tools/Libraries - PyMC - ArviZ - Theano/PyTe…