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These 5 Python libraries turned me into a better data analyst than Excel ever could
The power of Python trumps Excel workbooks.
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.
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