PyTensor enables defining, optimizing, and efficiently evaluating mathematical expressions involving multi-dimensional arrays with automatic differentiation support. It maintains static computational graphs that can be modified in-place for advanced optimizations. The library provides compilation targets via C, JAX, and Numba, and serves as the computational backend for PyMC’s Bayesian inference workflows.