Python 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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