It demonstrates that Python needs libraries like NumPy. Few problems are more heavily optimized than matrix multiplication in practice, so comparing matrix multiplication benchmarks across languages with NumPy is not representative of real-world performance for most programming use cases.
It also means that adding performance to an existing Python program requires dropping into a different language, which is not only complicated, but also requires engineers capable in both Python and C (or similar).
It also means that adding performance to an existing Python program requires dropping into a different language, which is not only complicated, but also requires engineers capable in both Python and C (or similar).