How does NumPy handle internal random number generation performance?

NumPy uses modern bit generators like PCG64 to generate fast, statistically robust random numbers.

NumPy's random module separates bit generation from distribution transforms. Bit generators like PCG64 produce raw entropy efficiently, while distribution functions convert these into usable samples. This separation improves performance and reproducibility.