Hello, Programmers, Welcome to Codinglio. Today we are gonna talk about How to do Standard Deviation in Python Easily. Probably a script can be useful for you. I will provide a script for this, that will surely help you do that.

## How to do Standard Deviation in Python Easily

Here is a really quick Script for doing standard Deviation in Python. If you can improve it, comment down your suggestions.

`from math import sqrt`

def standard_deviation(lst, population=True):

"""Calculates the standard deviation for a list of numbers."""

num_items = len(lst)

mean = sum(lst) / num_items

differences = [x - mean for x in lst]

sq_differences = [d ** 2 for d in differences]

ssd = sum(sq_differences)

# Note: it would be better to return a value and then print it outside

# the function, but this is just a quick way to print out the values along

# the way.

if population is True:

print('This is POPULATION standard deviation.')

variance = ssd / num_items

else:

print('This is SAMPLE standard deviation.')

variance = ssd / (num_items - 1)

sd = sqrt(variance)

# You could `return sd` here.

print('The mean of {} is {}.'.format(lst, mean))

print('The differences are {}.'.format(differences))

print('The sum of squared differences is {}.'.format(ssd))

print('The variance is {}.'.format(variance))

print('The standard deviation is {}.'.format(sd))

print('--------------------------')

s = [98, 127, 133, 147, 170, 197, 201, 211, 255]

standard_deviation(s)

standard_deviation(s, population=False)

And here is the output:

`This is POPULATION standard deviation.`

The mean of [98, 127, 133, 147, 170, 197, 201, 211, 255] is 171.0.

The differences are [-73.0, -44.0, -38.0, -24.0, -1.0, 26.0, 30.0, 40.0, 84.0].

The sum of squared differences is 19518.0.

The variance is 2168.6666666666665.

The standard deviation is 46.56894530335282.

This is SAMPLE standard deviation.

The mean of [98, 127, 133, 147, 170, 197, 201, 211, 255] is 171.0.

The differences are [-73.0, -44.0, -38.0, -24.0, -1.0, 26.0, 30.0, 40.0, 84.0].

The sum of squared differences is 19518.0.

The variance is 2439.75.

The standard deviation is 49.393825525059306.

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