How to Get Normally Distributed Random Numbers With NumPy

Probability distributions describe the likelihood of all possible outcomes of an event or experiment. The normal distribution is one of the most useful probability distributions because it models many natural phenomena very well. With NumPy, you can create random number samples from the normal distribution.

This distribution is also called the Gaussian distribution or simply the bell curve. The latter hints at the shape of the distribution when you plot it:

 

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