We've explored progressively more sophisticated techniques for optimizing numerical computations. We started with basic MLIR concepts, moved through memory management and linear algebra, and then neural network implementations. Each layer has added new capabilities for expressing and optimizing computations. Now we're reading to build our first toy compiler for Python expressions. In this section, we'll explore how to use the egglog library to perform term rewriting and optimization on Python ex...