Can I generate authentic random number with python?

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花落未央
花落未央 2020-12-06 07:12

I\'m learning random module of python. And I know it generates pseudo random number. Which its core idea is to use a high-frequency clock as a seed and then use a function t

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  •  谎友^
    谎友^ (楼主)
    2020-12-06 07:46

    Python has nothing that allows you to generate "truly random" or "authentic random" numbers, in the sense that they are uniformly distributed and independent of everything else (especially the latter).

    In any case, the distinction between "pseudorandom" and "truly random" numbers is not what applications care about. Rather, the requirements for randomness depend on the application, and you didn't really specify what kind of application you have in mind. For example, in general:

    • Security applications care whether the numbers are hard to guess; in this case, only a cryptographic RNG can achieve this requirement (even one that relies on a pseudorandom number generator). A Python example is the secrets module or random.SystemRandom.
    • Scientific simulations care whether the numbers behave like independent uniform random numbers, and often care whether the numbers are reproducible at a later time. A Python example is numpy.random.Generator or random.Random.

    See also these questions:

    • Checking noise in binary sequence for randomness
    • How to get truly random data, not random data fed into a PRNG seed like CSRNG's do?

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