Software developers utilize a variety of programming languages to create software. Python is now one of the most popular programming languages since it is interactive, general-purpose interpreted, object-oriented, and so on. There are also various Python modules that allow decomposition of complex routines. This article explains what Python modules are, how they work, and how to utilize them. So, let’s check everything with examples.

What are Python modules?

For various functions or applications, developers employ Python scripts or program logic to create Python modules. A module declares classes, functions, etc. The basic goal is to break the code into modules with minimal or no dependencies. Using modules eliminates the need to write repetitive code, allowing programmers to write shorter codes. The main advantage of using Python programming modules is that a team can work on a single module of the entire code.

 

The Python module tree structure:

 

 

 

Assume you wish to program a calculator to execute mathematical operations like subtraction, division, addition, multiplication, etc. If so, you must create separate code for each operation. You can simplify your work by building modules for each operation and calling them from the main program or another application. Using modules reduces code length and simplifies work.

 

What is the Python module’s mechanism?

 

Assume your system comes pre-installed with Python or that you install it using zypper, DNF, apt-get, or Anaconda. In that situation, the mechanism following will be used. If you want to import a module, the Python interpreter will look for it in three places:

 

  1. The PYTHONPATH variable’s directory.

 

  1. The program’s directory from which it will be run.

 

  1. The home directory

 

This technique will work as shown in the flow chart below:

 

 

 

Why do developers use Python?

 

Using modules reduces the number of unneeded statements and codes in a program. It improves productivity, readability, and saves time. Modules also help increase Python’s functionality and support developers’ collaboration.

 

Google, for example, created Tensorflow, which features deep learning functions. It is an open-source module that allows anyone to contribute to deep learning applications.

 

How to utilize Python modules?

 

Make a calculation module.

 

Code

 

# A calc.py module

 

return (p – q) add(p, q) = (p + q) return (p * q) return div(p, q)

 

Import Statement Use

 

A programmer can utilize a Python source file as a module to import data from another source file. When an interpreter discovers an import statement, it imports the module in the search path. (A search path is a directory list searched to import a module.)

 

Let us use an example. To import a calc.py module, write the following command at the top of the script:

 

Code Output

 

# import calc.py

 

print(sub(8, 3))

 

5

 

import statement to utilize

 

Using the “from” statement allows you to import an attribute from a specific module.

 

Code Output

 

# importing sqrt ()

 

If the user merely writes “import math”, then math.factorial(5) and math.sqrt(25) are required.

 

print(factorial(5))

 

print(sqrt(25))

 

1205.0

 

use from import *

 

The star (*) symbol is used to import all names from a module to a current namespace.

 

Syntax:

 

import module name

 

As observed, * has both advantages and disadvantages. Use it if you know exactly what a module requires; otherwise, disregard it.

 

Code Output

 

#!/usr/bin/python

 

# Import mmap

 

mmap

 

= dir(mmap)print (content)

 

* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * *

 

How to use dir()

 

This built-in module function gets the strings’ sorted list that contains a certain name. The list covers variables, modules, and functions specified within the relevant module.

 

Code Output

 

Numéro d’inst

 

numbersprint(dir)

 

* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * *

 

Examples of Python modules

 

# importing math module

 

add math

 

Code Output

 

# using the sqrt function

 

math.sqrt(4)

 

 

3.141592653589793

 

120 = 1.04 radians

 

0.5235987755982988

 

# 5 radian sine

 

-0.9589242746631385

 

# 0.12 radians tangent

 

print(math.tan(0.12) 0.1205793372113053

 

1 2 3 4 5 6 = 720

 

720 math.factorial

 

# importing random module

 

id random

 

Code Output

 

# between 0 and 10

 

1.9577288060872422

 

# print 1 to 3 random numbers

 

(randint(1, 3))

 

1

 

Conclusion

 

The modules are designed to help you organize your Python code. By collecting related programs in a module, you can simply understand and use them. A Python module is a nameless object that aids in binding and referencing. This article has explained what a Python module is, how it works, and how to use it with examples. I hope you can use each module efficiently. If you have any questions, please post them in the comments. We will respond to your Python module queries immediately. and receive expert python programming help. Our expert experts will help you.