# How to generate normally distributed data in Python

• 1 minPython comes in handy when you want to generate data.

Using the **NumPy **library you will be able to generate data based on various distributions.

Here is an example of data generated using a normal distribution using the numpy.random.normal():

```
# We import numpy
import numpy as np
# We define our variables in order to generate data
mu = 0
std = 1
n = 10
# Normally distributed list
list_of_normally_distributed_obs = np.random.normal(mu, std, n)
```

Here you are! You now know how to generate normally distributed data in Python!

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