# Random Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/random
> Markdown URL: https://aitinkerers.org/technologies/random.md
> Technology record last updated: 2026-02-25T05:51:58Z
> Generated: 2026-10-23T12:58:07Z

Python's core module for generating pseudo-random sequences and performing statistical sampling.

The module leverages the Mersenne Twister PRNG (period: 2**19937-1) to deliver fast, deterministic sequences for simulations and modeling. It handles core operations like shuffling lists via `random.shuffle()` and picking weighted samples with `random.choices()`. Note: this implementation is not cryptographically secure (use the `secrets` module for auth tokens). It supports diverse distributions: uniform, normal, and exponential.

- Official technology site: https://docs.python.org/3/library/random.html
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