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def
keyword and can be reused by calling it with parentheses.Python uses the def
keyword to define a function, followed by the function name and parentheses ()
.
The correct syntax looks like this:
def greet():
print("Hello, Python!")
greet()
:
is required after the function definition line.Options 1, 2, and 4 use incorrect syntax or invalid keywords (like function
, define
, or missing colons).
Option 3 is the correct Python way to define and call a function.
Welcome to the Python Functions exercises — a dedicated set of challenges focused on helping you master one of the most powerful building blocks in Python programming: functions. Whether you're a beginner learning how to define and call your first function, or you're revisiting functions to strengthen your grasp on scopes, parameters, and return values, this section is for you.
Functions in Python are used to break down code into reusable blocks, making programs more organized, readable, and maintainable. These exercises will take you from the basics of defining and calling simple functions to more advanced topics like default arguments, keyword arguments, variable-length arguments (*args
and **kwargs
), lambda expressions, and recursion.
You'll also explore the concept of local and global scope, understand the lifetime of variables, and learn how to return values effectively for clean and modular code. These are essential concepts for writing scalable Python applications, whether you're working on automation scripts, web backends, or data processing tasks.
Each problem is designed with real-world programming in mind, allowing you to solve practical challenges that mirror those faced in actual software projects. As you progress, you’ll build the habit of thinking in terms of smaller, testable units — a crucial mindset in writing robust and maintainable code.
The Python Functions section is also a great opportunity to prepare for technical interviews, where questions around recursion, nested functions, and parameter behaviors are very common. Our structured set of exercises gradually increases in complexity to ensure you build confidence and skill at a comfortable pace.
In addition to solving these problems, we recommend exploring related topics like Python modules, decorators, and lambda functions, which build directly upon the core concept of functions. Also, don’t miss out on our quizzes to reinforce your learning and assess your understanding of how functions work in different scenarios.
Start practicing now and develop the ability to think modularly and write cleaner, more efficient code using Python functions. This foundational skill will pay off in every Python project you work on — from data science to web development to automation.