Function parameters allow you to pass data into a function so it can perform operations using that data.
They make functions flexible and reusable.

WHAT ARE PARAMETERS?

Parameters are variables listed inside the parentheses when defining a function.

Arguments are the actual values passed when calling the function.

def greet(name):   # name is a parameter
    print("Hello", name)greet("Hira")      # "Hira" is an argument

TYPES OF FUNCTION PARAMETERS

Python supports different types of parameters.

1. POSITIONAL PARAMETERS

These are the most common type.
Values are assigned based on their position.

def add(a, b):
    return a + bprint(add(5, 3))

Here, 5 is assigned to a and 3 to b.

2. KEYWORD PARAMETERS

You can specify arguments by parameter name.

def student(name, age):
    print("Name:", name)
    print("Age:", age)student(age=20, name="Ali")

Order does not matter when using keyword arguments.

3. DEFAULT PARAMETERS

You can assign default values to parameters.

def greet(name="Guest"):
    print("Hello", name)greet()
greet("Sara")

If no argument is provided, the default value is used.

4. VARIABLE-LENGTH PARAMETERS

Sometimes you don’t know how many arguments will be passed.

*args (Non-Keyword Arguments)

def add_numbers(*numbers):
    total = 0
    for num in numbers:
        total += num
    return totalprint(add_numbers(1, 2, 3, 4))

*args collects multiple positional arguments into a tuple.

**kwargs (Keyword Arguments)

def display_info(**info):
    for key, value in info.items():
        print(key, ":", value)display_info(name="Hira", age=25)

**kwargs collects multiple keyword arguments into a dictionary.

IMPORTANT RULES

• Positional arguments must come before keyword arguments
• Default parameters must come after required parameters
• *args comes before **kwargs in function definition

Example order:

def example(a, b=10, *args, **kwargs):
    pass

WHY PARAMETERS ARE IMPORTANT

• Make functions reusable
• Allow dynamic input
• Help build flexible applications
• Reduce code duplication

Understanding function parameters helps you write powerful and professional Python programs.