Course Content

Learning Statistics with Python

## Learning Statistics with Python

# Standard Deviation with Python

The first function is from **NumPy**, and the second method is from **pandas**. Take a look at the example of calculating the standard deviation for the `work_year`

:

`import pandas as pd import numpy as np df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/a849660e-ddfa-4033-80a6-94a1b7772e23/update/ds_salaries_statistics', index_col = 0) # Calculate the standard deviation using the function from the NumPy library std_1 = np.std(df['salary_in_usd']) # Calculate the standard deviation using the function from the pandas library std_2 = df['salary_in_usd'].std() print('The standard deviation using NumPy library is', round(std_1, 2)) print('The standard deviation using pandas library is', round(std_2, 2))`

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