In this article, we will discuss the difference between function vs module in the Python programming language. Python is a modern programming language that is well-known for its optimization skills. Python removes the unnecessary features of programming and makes the tools more flexible.
What is a Function?
A function is a logically ordered and reusable code piece that may be used to execute a single, related task. Different types of functions are classified.
- User-defined functions
- Built-in functions
- Lambda functions
- Recursive functions
Type 01: User-defined functions
User-defined functions are functions that are define by us in order to fulfill a certain task.
Benefits of User-defined functions:
- We may utilize User-defined functions to break down a complex program into smaller chunks, making it easier to understand, maintain, and debug.
- Assume that a program has repeating code. We may utilize the function to include those codes and call it when we need to run them.
Type 02: Built-in functions
Python includes a variety of functions that may be use straight away. Built-in functions are what they’re call.
List of Built-in functions in Python:
You can check out our article on the Python Built-in function here is the link. Python Built-In Functions with Syntax and Examples.
Type 03: Lambda functions
Anonymous functions, often known as Lambda functions, are functions define without a name.
While the def keyword in Python may be use to build regular functions, the lambda keyword can be use to define anonymous functions.
Use of Lambda function in Python:
In Python, the Lambda function is use when a nameless function is require for a brief period of time. We commonly utilize it as an argument to a higher-order function in Python (a function that accepts other functions as parameters).
Lambda functions are use in combination with built-in functions like filter(), map(), and many more.
- filter(): As the name implies, this function is used to filter iterables according to the criteria. The filter() function filters the original iterable and returns only the items that return TRUE for the filter’s function.
- map(): The map() function performs all of a function’s requirements on the items in an iterable, allowing us to apply a function to it and then pass it to the result, which can have identical or different values.
Type 04: Recursion functions
A recursive function is one that is defined by self-referential statements in terms of itself. This indicates that the function will keep calling itself and repeating its actions until certain conditions are satisfied in order for it to deliver an output.
What is a Module?
A module is a Python file with the .py suffix that may be imported into another Python application. The module’s name is derived from the name of the Python file.
The definitions and implementation of the module are included.
This may be useful in another program.
Benefits of modules:
- Reusability: Working with modules makes the code reusable.
- Simplicity: The module targets a small proportion of the problem rather than aiming at the complete problem.
- Scoping: A Module defines a distinct namespace that supports avoiding collisions between identifiers.
Function vs Module: Defining and Calling a Function in Python
We’ll learn how to define and call a function in Python in this section. To better understand how to define and call a function, examine the following example.
# defining a function def my_func(): print("Greetings User! Welcome to Softhunt.net") # calling the function my_func()
Greetings User! Welcome to Softhunt.net
# defining a function def my_func(name): print("Greetings " + name + ", Welcome to Softhunt.net") # calling the function my_func("Ranjeet") my_func("Jhonn") my_func("Kohli") my_func("Madam")
Greetings Ranjeet, Welcome to Softhunt.net Greetings Jhonn, Welcome to Softhunt.net Greetings Kohli, Welcome to Softhunt.net Greetings Madam, Welcome to Softhunt.net
Function vs Module: Defining and Using a Module in Python
We’ll learn how to define and utilize a module in Python in this section.
To begin, we’ll build a .py Python program file and put it in the local repository. Now we can use this program file to import it into the application, allowing us to use the module’s capabilities.
To add multiple modules, we may use the import command.
import module_1, module_2, ...
Let us consider the following example.
# importing a module import math
Using the dot (.) operator, we may remove the function’s calls from the module we built and access the function’s properties, classes, and all other valuables.
Let us consider the following example for the same.
# importing a module import math # using the sqrt() function of the math module print("Square root of 16:", math.sqrt(16))
Square root of 16: 4.0
Function vs Module: Conclusion
Modules and functions may present each other in appearance and purpose, which is reusability. Modules, on the other hand, are on a bigger scale due to their utilization in many classes, functions, and attributes to complete greater functionality. Functions, on the other hand, are more tailored to certain actions on a smaller scale.