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Python Functions - Important Points

Python Functions - MCQ


Functions are a fundamental concept in programming, and Python provides a wide range of tools for defining and working with functions. In this write-up, we will cover the basics of Python functions for beginners, including what they are, how to define and call them, how to pass arguments and return values, and some advanced concepts.

What are functions?

A function is a block of code that performs a specific task. It is a reusable piece of code that can be called from different parts of a program. Functions make code more modular, easier to read, and reduce code duplication.

Defining Functions

In Python, functions are defined using the def keyword followed by the function name, a set of parentheses containing any arguments, and a colon. The function body is indented and contains the code that performs the task.

For example, let's define a simple function that prints a message:

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def greet():

print("Hello, World!")

Calling Functions

Once a function is defined, it can be called from anywhere in the program. To call a function, you simply use the function name followed by a set of parentheses.

For example, let's call the greet function we defined earlier:

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greet()

This will output "Hello, World!" to the console.

Function Arguments

Functions can also take arguments, which are values that are passed to the function when it is called. Arguments are specified in the parentheses when the function is defined.

For example, let's define a function that takes a name argument and prints a personalized message:

python

def greet(name):

print("Hello, " + name + "!")

To call this function, we pass a name argument:

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greet("John")

This will output "Hello, John!" to the console.

Default Arguments

Functions can also have default arguments, which are values that are used if no argument is provided. Default arguments are specified using the = operator in the argument list.

For example, let's define a function that takes a name argument and a location argument, with a default value of "Earth" for the location:

python

def greet(name, location="Earth"):

print("Hello, " + name + " from " + location + "!")

To call this function with both arguments:

arduino

greet("John", "Mars")

This will output "Hello, John from Mars!" to the console.

To call this function with just the name argument, the default value will be used:

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greet("John")

This will output "Hello, John from Earth!" to the console.

Returning Values

Functions can also return values, which are values that are sent back to the calling code. To return a value, use the return keyword followed by the value to be returned.

For example, let's define a function that takes two arguments and returns their sum:

python

def add(x, y):

return x + y

To call this function and use the returned value:

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result = add(3, 4)

print(result)

This will output "7" to the console.

Advanced Concepts

Python functions also support some advanced concepts, including:

  • Variable-length argument lists: Functions can be defined to take a variable number of arguments using the *args and **kwargs syntax. This is useful when you don't know how many arguments a function will need to take.
  • Lambda functions: Lambda functions are anonymous functions that can be defined in one line using the lambda keyword. They are useful for simple tasks and can be used as arguments to other functions.
  • Recursive functions: Recursive functions are functions that call themselves. They are useful for solving problems that can be broken down into smaller sub-problems.
  • Nested functions: Functions can be defined inside other functions. This is useful for encapsulating functionality that is only used within a specific context.

Here are some examples of these advanced concepts:

Variable-length argument lists

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def my_function(*args):

for arg in args:print(arg)

my_function(1, 2, 3, 4)

This will output "1", "2", "3", and "4" to the console.

Lambda functions

python

def apply_operation(x, y, operation):

return operation(x, y)

result = apply_operation(3, 4, lambda x, y: x + y)

print(result)

This will output "7" to the console.

Recursive functions

python

def factorial(n):

    if n == 0:

        return 1

    else:

        return n * factorial(n-1)

result = factorial(5)

print(result)

This will output "120" to the console.

Nested functions

python

def outer_function(x):

    def inner_function(y):

        return x + y

    return inner_function

add_five = outer_function(5)

result = add_five(3)

print(result)

This will output "8" to the console.

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