So using a custom seed value, you can initialize the robust and reliable pseudo-random number generator the way you want.Īlso, the ed() is useful to reproduce the data given by a pseudo-random number generator. ![]() The seed value is very significant in computer security to pseudo-randomly generate a secure secret encryption key. Use a ed() function with other random module functions to reproduce their output again and again. The random module uses the seed value as a base to generate a random number. The random number or data generated by Python’s random module is not truly random it is pseudo-random(it is PRNG), i.e., deterministic. The seed value is a base value used by a pseudo-random generator to produce random numbers. ![]() Use random seed and shuffle function together.Use random seed and sample function together.Use the Random seed and choice method together.Get a seed value used by a random generator.Set system time as a seed value instead of OS-specific randomness source.random seed() example to generate the same random number every time.Why and When to use the seed() function.
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