Thursday, February 11, 2021

Introduction to python Modules

on  

Content:

  • Introduction:
  • math module:
  • random module:
  • statistics module:

Introduction:

Modules refer to a file containing Python statements and definitions. A file containing Python code, for example: hello.py , is called a module, and its module name would be hello .

math module:

math module is a inbuilt module in python and has a set of methods and constants. Some of the methods and constant are listed below.

In [3]:
# pi

import math
print(math.pi)

3.141592653589793
In [4]:
# e

import math
print(math.e)

2.718281828459045
In [26]:
# sqrt

import math
print(math.sqrt(78))

8.831760866327848
In [6]:
# celi

import math
print(math.ceil(3.14))

4
In [7]:
# floor

import math
print(math.floor(3.98))

3
In [8]:
# pow

import math
print(math.pow(2,3))

8.0
In [27]:
# fabs - this method returns the absolute value of a number, as a float

import math
print(math.fabs(-66.43))

66.43
In [11]:
# sin

import math
print(math.sin(45))

0.8509035245341184
In [12]:
# cos

import math
print(math.cos(45))

0.5253219888177297
In [13]:
#tan

import math
print(math.tan(45))

1.6197751905438615

random module:

random moduleis a built-in module that you can use to make random numbers.

In [28]:
# random  - Returns a random float number between 0 and 1
#syntax - random.random()

import random

print(random.random())

0.2748010704146032
In [18]:
# randint - Returns a random number between the given range, both included
#syntax - random.randint(start, stop)

import random
print(random.randint(10,15))

11
In [19]:
# randrange - Returns a random number between the given range
# Syntax - random.randrange(start, stop, step)

import random
print(random.randrange(10,20,3))

13

statistics module:

it is a built-in module that can be used to calculate mathematical statistics of numeric data.

In [20]:
# mean - this method calculates the mean (average) of the given data set.
# syntax - statistics.mean(data)

import statistics
print(statistics.mean([-11, 5.5, -3.4, 7.1, -9, 22]))

1.8666666666666667
In [23]:
# median - this method calculates the median (middle value) of the given data set. This method also sorts the data in ascending order before calculating the median.
#syntax - statistics.median(data)
#Note: If the number of data values is odd, it returns the exact middle value. If the number of data values is even, it returns the average of the two middle values.

# Import statistics Library
import statistics

# Calculate middle values
print(statistics.median([-11, 5.5, -3.4, 7.1, -9, 22]))+

1.05
In [25]:
# mode - This method calculates the mode (central tendency) of the given numeric or nominal data set.
# Syntax - statistics.mode(data)

# Import statistics Library
import statistics

# Calculate the mode
print(statistics.mode([1, 3, 3, 3, 5, 7, 7.9, 11]))
print(statistics.mode(['red', 'green', 'blue', 'red']))

3
red

Refrenences: https://www.w3schools.com/

Share: