As your Python programs grow beyond a few lines, putting all your code into one single file quickly becomes messy and difficult to manage. Imagine trying to find a specific function definition in a file thousands of lines long, or wanting to reuse a helpful function you wrote for one project in a completely different one without copying and pasting. This is where Python's concept of modules comes into play.
At its core, a module in Python is simply a file containing Python definitions and statements. The file name is the module name with the suffix .py
added. For example, if you create a file named utilities.py
and place several function definitions inside it, you have created a module named utilities
.
Modules serve several important purposes:
calculate
inside your utilities
module won't clash with another function also named calculate
in a different module or your main program file. Each module keeps track of its own names, preventing conflicts.Think of modules as building blocks. Instead of constructing a massive, monolithic program, you build smaller, self contained modules that handle specific tasks. You can then assemble these modules to create your final application.
For instance, consider our hypothetical utilities.py
file:
# utilities.py
def calculate_area(length, width):
"""Calculates the area of a rectangle."""
return length * width
def format_greeting(name):
"""Creates a simple greeting string."""
return f"Hello, {name}!"
# ... other utility functions ...
This file, utilities.py
, is a module. It contains related functions (calculate_area
, format_greeting
). How we actually access and use these functions from another Python script is the subject of the next sections, where we will look at the import
statement. Understanding modules is fundamental to writing organized and maintainable Python code, especially as you start working on larger projects.
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