What is this supposed to demonstrate? There appears to be roughly the same code structure, ported to every language, while for some languages, arbitrary optimizations are introduced (such as using `array` instead of `list` in Python). But nobody working in Python uses matrix multiplication code written in Python. They use NumPy, which is a de facto standard library for people working in the relevant fields. It's as m…
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).