There is a NumPy function dedicated to finding the standard deviation of a dataset — we can cut out the step of first finding the variance. The NumPy function
std() takes a dataset as a parameter and returns the standard deviation of that dataset:
import numpy as np dataset = [4, 8, 15, 16, 23, 42] standard_deviation = np.std()
We’ve removed the code that calculated the variance of each dataset. By using
np.std() we don’t need to take that middle step anymore.
nba_data as a parameter, and store the result in
Make a similar function call using
okcupid_data and store the result in