Exploring Python Functions: An Easy Guide for Beginners | CodeSignal Learn

Exploring Python Functions: An Easy Guide for Beginners | CodeSignal Learn

Overview of Python Functions

Greetings, seeker of knowledge! Today, we're setting forth on a journey to navigate the cosmos of Python. We will focus particularly on Python functions — one of the key elements in the programming universe. Just as the blender in your kitchen combines various ingredients to serve you a delightful smoothie, functions in programming take in inputs or " arguments ", process them, and generate an output. For instance, consider a function in a food delivery app. You input your food choices, the app processes the order, and voilà, you receive the expected time of delivery. Food for thought, isn't it? Are you ready to start concocting your own Python functions? Let's dive in!

Learning to Write Python Functions

So, how do we create a Python function? It's fairly straightforward, involving several key components: the keyword def, the name of the function, parentheses (), and a colon : . Take a look: Python def hello_world(): print("Hello, World!") In the function above, hello_world is the name of the function. Within its body, which is indented to the right, it performs an operation — printing the phrase "Hello, World!". We use or "call" this function by using its name followed by parentheses. Let's give it a try: Python def hello_world(): print("Hello, World!") # Call the function hello_world() # Prints: "Hello, World!" Upon running this script, you will see "Hello, World!" printed on your screen. Voilà! You've just cooked up your first Python function.

Empty function body: pass

Python has a special operator pass that is used to provide no implementation for the function. This is how it works: Python def not_implemented_function(): pass You ask why? The reason is that if you don't provide this operator, the code won't run: Python def not_implemented_function(): # no implementation provided, 'pass' is missed # The code throws "IndentationError: expected an indented block after function definition on line 1" So essentially, pass is used when you already have a function definition but don't have implementation for it yet - without the pass operator, the code won't run.

Functions with Arguments

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Our blender becomes more versatile as we introduce different ingredients, doesn't it? Similarly, to add versatility to our function, we introduce arguments — inputs that our function can transform and combine to produce varied results. def greet(message): print(message) # Call the function with "Good Morning!" greet("Good Morning!") # Prints: "Good Morning!" The greet function above accepts a message argument and prints it out. When we feed the argument "Good Morning!", it prints exactly that.

Functions that Give Back: Return Values

Blenders don't merely process the ingredients; they also deliver a smoothie. Similarly, functions can process inputs and return a computed result or output. They accomplish this using the return keyword. def add_numbers(num1, num2): result = num1 + num2 return result # Call the function total = add_numbers(3, 7) print(total) # Prints: 10 Just like a blender, the add_numbers function combines, or adds, num1 and num2, and then return delivers the resulting sum. This returned value is then assigned to the variable named sum, which is subsequently printed out.

Functions: Variable Arguments

Now, what if we want to blend more than two ingredients? Or, in Python terms, what if we want our function to accept any number of arguments flexibly? You don't have to understand how sum(args) and len(args) work for now, just look how it works! We'll cover these built-in functions later in this course. def calculate_average(*args): """ `sum(args)` returns the sum of all arguments `len(args)` returns the number of arguments """ return sum(args) / len(args) # the average across all arguments # Call the function with various numbers of arguments print(calculate_average(3, 7)) # Prints: 5 ((3 + 7) / 2 = 5) print(calculate_average(10, 20, 30, 40)) # Prints: 25 (10 + 20 + 30 + 40) / 4 = 100 / 25 = 4) print(calculate_average(1, 2, 3, 4, 5, 6, 7, 8, 9, 10)) # Prints: 5.5 The calculate_average function accepts any number of arguments (*args) and calculates their average by summing all the values (sum(args)) and dividing by the total number of values (len(args)). You can call this function with any number of arguments — a handy trick to have up your sleeve!

Python

def calculate_average(*args):
    """
    `sum(args)` returns the sum of all arguments
    `len(args)` returns the number of arguments
    """
    return sum(args) / len(args) # the average across all arguments

# Call the function with various numbers of arguments
print(calculate_average(3, 7)) # Prints: 5 ((3 + 7) / 2 = 5)
print(calculate_average(10, 20, 30, 40)) # Prints: 25 (10 + 20 + 30 + 40) / 4 = 100 / 25 = 4)
print(calculate_average(1, 2, 3, 4, 5, 6, 7, 8, 9, 10)) # Prints: 5.5