Python’s global interpreter lock (GIL) and dynamic typing make it 10–100x slower than compiled languages for CPU-bound workloads. In 2024 benchmarks, a naive Python 3.12 matrix multiplication function took 12.7 seconds to process 1000x1000 float arrays, while a Cython 3-optimized version ran in 1.4 seconds, and a Rust 1.85 binding dropped that to...