How to Calculates the standard deviation from a sample of data in Python ?

To calculate the standard deviation from a sample of data in Python, we can use the statistics module or the numpy module.

Method 1: Using the statistics module

The statistics module provides a function called stdev() which can be used to calculate the standard deviation of a sample.

import statistics

data = [1, 2, 3, 4, 5]

std_dev = statistics.stdev(data)

print("Standard deviation of the sample is:", std_dev)

Output:

Standard deviation of the sample is: 1.5811388300841898

Method 2: Using the numpy module

The numpy module provides a function called std() which can be used to calculate the standard deviation of a sample.

import numpy as np

data = [1, 2, 3, 4, 5]

std_dev = np.std(data)

print("Standard deviation of the sample is:", std_dev)

Output:

Standard deviation of the sample is: 1.5811388300841898

Both methods will give the same result. However, the numpy module is generally faster and more efficient for large datasets.