If the operating system provides randomness sources, they are used instead of the system time. If the a is None, then by default, current system time is used. It accepts two parameters. Both are optional. It initialize the pseudo-random number generator with seed value a. Let’s understand the working of a seed() function. That is useful when you need a predictable source of random numbers. When we supply a specific seed to the random generator, you will get the same numbers every time you execute a program. By re-using a seed value, we can regenerate the same data multiple times as multiple threads are not running. 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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