Random module in Numpy

#1

I have noticed that we can put any number inside of numpy.random.seed() ,
For example numpy.random.seed(1), numpy.random.seed(100) .

What do the different numbers mean? How do we choose which number is to be set as seed?

#2

Hey @gautam75, there is no rule as such to choose these numbers. All of them are pseudo random numbers. Seed function is used to save the state of a random function, so that it can generate same random numbers on multiple executions of the code on the same machine or on different machines (for a specific seed value).

I hope this helps ! :smile:
Happy Learning ! :+1:

#3

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