Understanding random seed in python | random seed python | randomness and reproducibility in python

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My name is Aman and I am a Data Scientist.

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[njokiruth]

I think yes, you will use seed in production, because in the testing stages of the model, it will act as a control allowing you to debug and adjust the model accordingly

[Anupkumar-cdgv]

Yes, it is important to use "random_state " for splitting the data in the production environment because consistency is crucial for debugging, testing, and maintaining the model.

Otherwise this makes it challenging to reproduce the same split for debugging or comparing model versions.

[himanshussn]

I might be incorrect but from my understanding is that we will use seed in production environment to get the reproducibility of results. Let's say that I want to validate my model in production, so reproducibility becomes an important factor to get the same results and validate them.
Please correct me if I am wrong as I am a beginner and do not know much about this stuff.