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in python, the random module is widely used for generating pseudo-random numbers. pseudo-random numbers are not truly random but are generated using a deterministic algorithm. the random module provides functions to generate random numbers, and it has a default seed value that is used to initialize the random number generator.
the default seed in the random module is based on the current system time. this means that if you don't explicitly set a seed using random.seed(), the random number generator will be initialized with the system time when the python interpreter starts. this makes the sequence of random numbers appear more random each time you run your program.
however, keep in mind that using the default seed can have implications, especially when reproducibility is important. if you want the same sequence of random numbers each time your program runs, you should set a fixed seed using random.seed().
let's explore a simple example to illustrate the default seed behavior and how to set a custom seed.
in this example, we first generate three random numbers using the default seed. then, we set a custom seed (in this case, 42) using random.seed(), and generate another set of three random numbers. running this code multiple times will show that the numbers generated with the default seed change each time, while the numbers generated with the custom seed remain the same.
understanding the default seed behavior in the random module is essential for managing reproducibility in your python programs. whether you need truly random sequences or reproducible results, being aware of and using the seed appropriately will help you achieve the desired outcome.
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