Create an rng object with np.random.default_rng(), you can seed it for reproducible results. You can draw samples from probability distributions, including from the binomial and normal distributions.

I was trying to use Hadoop's streaming pattern to use python code on a largish data set. However, uploading my data to the cluster actually takes approximately forever (I've not yet actually succeeded ...

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