Guided Notes
Random Numbers
Pseudo-random numbers, random integers and floats, choosing from data, seeds, and shuffling.
Pseudo-random numbers
Slide 1 / 5Computers are deterministic, so the random numbers they produce come from algorithms β pseudo-random numbers. They look random and pass statistical tests, but the same starting point (a seed) always produces the same sequence.
That's a feature: seeding makes simulations, experiments, and machine-learning splits reproducible.
For security (passwords, tokens), use Python's secrets module instead β pseudo-random numbers are predictable.