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Random: reproducible experiments without secrecy

Publisher: ResumeMaker • 1 source

Published: 22 Oct 2026 16:11 · Updated: 22 Oct 2026 16:11

AI source check: 22 Oct 2026 14:04. This is not editorial approval.

In a few sentences

In brief

random.Random(42) creates a separate pseudorandom generator with a specified initial state. It suits reproducible simulations and examples without necessarily changing the shared generator.

Useful to know

random.Random(42) creates a separate pseudorandom generator with a specified initial state. It suits reproducible simulations and examples without necessarily changing the shared generator. [1]

Do not use this predictability for passwords or tokens. The documentation points to secrets for security-sensitive values. For long-term reproduction, record the version and specific algorithm rather than assuming every helper function remains unchanged across releases.

Sources

For further detail and to check the information:

  1. [1] random — Generate pseudo-random numbers — Python 3.12.15 documentation ↗