Python | Modules vs Packages

Python | Modules vs Packages

When you start learning Python, you often hear terms like modules and packages. At first, they sound confusing and many beginners think they are the same thing.

But don’t worry ?
In this article, we’ll understand modules vs packages in Python using simple explanations and real examples.


What is a Module in Python?

A module is simply a single Python file (.py) that contains:

  • Variables

  • Functions

  • Classes

  • Code that you want to reuse

Think of a module as:

One Python file = One module

Example of a Module:

Let’s say you create a file called math_utils.py:

# math_utils.py

def add(a, b):
    return a + b

def subtract(a, b):
    return a – b

Now you can use this module in another file:

import math_utils

print(math_utils.add(10, 5))

Here, math_utils is a module.


Why Do We Use Modules?

Modules help you:

  • Organize your code

  • Avoid writing the same code again

  • Make your programs clean and readable

  • Share code across multiple files

Built-in Module Example

Python already provides many built-in modules:

import math
import datetime
import os

All of these are modules.


What is a Package in Python?

A package is a collection of multiple modules organized inside a folder (directory).

Think of a package as: A folder that contains multiple Python files (modules)

Usually, a package contains:

  • Multiple .py files

  • An __init__.py file (optional in modern Python)


Example of a Package Structure:

my_package/

├── __init__.py
├── math_utils.py
├── string_utils.py

Here:

  • math_utils.py → module

  • string_utils.py → module

  • my_package → package


Using a Package

from my_package import math_utils

print(math_utils.add(5, 3))

Or directly import a function:

from my_package.math_utils import add

print(add(5, 3))


Why Do We Use Packages?

Packages help you:

  • Group related modules together

  • Manage large projects easily

  • Avoid naming conflicts

  • Maintain clean project structure

They are especially useful in large applications like:

  • Web applications

  • Data pipelines

  • Machine learning projects


Real-World Example

Imagine a shopping application:

shopping_app/

├── payment/
│ ├── card.py
│ ├── upi.py

├── users/
│ ├── login.py
│ ├── register.py

Here:

  • payment → package

  • card.py, upi.py → modules

  • users → package

This structure makes the project easy to understand and maintain.


Key Differences: Modules vs Packages

Feature Module Package
Definition Single Python file Folder containing multiple modules
Extension .py Directory
Usage Small reusable code Organize large projects
Example math.py numpy, pandas
Contains Functions, classes, variables Multiple modules

Popular Python Packages You Already Use:

You may already be using packages without realizing it:

  • numpy

  • pandas

  • matplotlib

  • scikit-learn

  • django

  • flask

Each of these is a package made of many modules.


Module vs Package in One Line:

Module → A single Python file
Package → A folder that contains multiple Python modules


Conclusion:

Understanding modules vs packages is an important step in becoming a good Python developer.

  • Use modules to reuse code

  • Use packages to organize large projects

  • Both help you write clean, scalable, and maintainable Python code

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