In this tutorial, we will explain how to construct and import custom Python modules. Additionally, we may import or integrate Python’s built-in modules via various methods.
What is Modular Programming?
Modular programming is the practice of segmenting a single, complicated coding task into multiple, simpler, easier-to-manage sub-tasks. We call these subtasks modules. Therefore, we can build a bigger program by assembling different modules that act like building blocks.
Modularizing our code in a big application has a lot of benefits.
Simplification: A module often concentrates on one comparatively small area of the overall problem instead of the full task. We will have a more manageable design problem to think about if we are only concentrating on one module. Program development is now simpler and much less vulnerable to mistakes.
Flexibility: Modules are frequently used to establish conceptual separations between various problem areas. It is less likely that changes to one module would influence other portions of the program if modules are constructed in a fashion that reduces interconnectedness. (We might even be capable of editing a module despite being familiar with the program beyond it.) It increases the likelihood that a group of numerous developers will be able to collaborate on a big project.
Reusability: Functions created in a particular module may be readily accessed by different sections of the assignment (through a suitably established api). As a result, duplicate code is no longer necessary.
Scope: Modules often declare a distinct namespace to prevent identifier clashes in various parts of a program.
In Python, modularization of the code is encouraged through the use of functions, modules, and packages.
What are Modules in Python?
A document with definitions of functions and various statements written in Python is called a Python module.
In Python, we can define a module in one of 3 ways:
ython itself allows for the creation of modules.
Similar to the re (regular expression) module, a module can be primarily written in C programming language and then dynamically inserted at run-time.
A built-in module, such as the itertools module, is inherently included in the interpreter.
A module is a file containing Python code, definitions of functions, statements, or classes. An example_module.py file is a module we will create and whose name is example_module.
We employ modules to divide complicated programs into smaller, more understandable pieces. Modules also allow for the reuse of code.
Rather than duplicating their definitions into several applications, we may define our most frequently used functions in a separate module and then import the complete module.
Let’s construct a module. Save the file as example_module.py after entering the following.
Here, we are creating a simple Python program to show how to create a module.
defining a function in the module to reuse it
def square( number ):
# here, the above function will square the number passed as the input
result = number ** 2
return result # here, we are returning the result of the function