In symbolic programming, compiling the full code before execution enables significant performance optimizations. By observing the entire sequence of operations beforehand, the compiler can rewrite the code to be more efficient, such as precomputing constant values. Additionally, it can bypass the Python interpreter—removing a potential bottleneck for multi-GPU systems—and efficiently manage memory by releasing it or avoiding allocation for variables that are no longer required.