How to Optimize Python 3.12 Code with Cython 3 and Rust 1.85 Bindings for 10x Speedups
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
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