Comprehensive Guide to Functions in Python: Structure, Types, and Use Cases

Functions in Python are essential building blocks for writing modular, reusable, and maintainable code. This article introduces function definitions, distinguishes between built-in and user-defined functions, explores parameters and return values, and presents advanced topics such as recursion and lambda expressions. Whether you're a beginner or brushing up for interviews, this guide offers a clear and accessible foundation.

Function deflambda arguments

~2 min read • Updated Jul 30, 2025

1. Defining a Function


Functions are defined using the def keyword:


def greet(name):
    print("Hello", name)

2. Calling a Function



greet("Jina")
# Output: Hello Jina

3. Return Values



def add(a, b):
    return a + b

result = add(5, 3)
# Output: 8

4. Types of Arguments


  • Positional arguments: Based on order
  • Keyword arguments: Specified by name
  • Default values: def show(name="guest")
  • *args and **kwargs: Handle variable-length arguments

5. Built-in Functions


Python provides functions like len(), type(), and print() out of the box.


6. Recursive Functions


A function calling itself:


def factorial(n):
    if n == 0:
        return 1
    return n * factorial(n-1)

7. Lambda Functions


Anonymous functions for quick computations:


square = lambda x: x ** 2
print(square(4))  # Output: 16

8. Variable Scope


  • Global: Accessible throughout the program
  • Local: Confined to the function in which it’s defined

9. Function Documentation (Docstring)



def greet(name):
    """Displays a welcome message"""
    print("Hello", name)

10. Conclusion


Functions are central to writing clean and scalable Python code. Learning to define them, manage arguments, and apply advanced concepts like recursion or lambda expressions is key to mastering the language.


Written & researched by Dr. Shahin Siami