Key Concepts

Review core concepts you need to learn to master this subject

Python Functions

Calling Functions

Function Indentation

Function Parameters

Multiple Parameters

Function Arguments

Function Keyword Arguments

Returning Value from Function

See more

Python Functions

# define a function my_function() with parameter x def my_function(x): return x + 1 # invoke our function print(my_function(2)) # outputs: 3 print(my_function(3 + 5)) # outputs: 9

Some tasks need to be performed multiple times within a program. Rather than rewrite the same code in multiple places, a function may be defined using the def keyword. Function definitions may include parameters, providing data input to the function.

Functions may return a value using the return keyword followed by the value to return.

In the example, a function my_function is defined with the parameter x. The function returns a value that takes the parameter and adds 1 to it. It is then invoked multiple times with different input values.

Calling Functions

# define a function my_function() with parameter x def my_function(x): return x + 1 # invoke our function print(my_function(2)) # outputs: 3 print(my_function(3 + 5)) # outputs: 9

Python uses simple syntax to use, invoke, or call a preexisting function. A function can be called by writing the name of it, followed by parentheses.

For example, the code provided would call the doHomework() method.

Function Indentation

# define a function my_function() with parameter x def my_function(x): return x + 1 # invoke our function print(my_function(2)) # outputs: 3 print(my_function(3 + 5)) # outputs: 9

Python uses indentation to identify blocks of code. Code within the same block should be indented at the same level. A Python function is one type of code block. All code under a function declaration should be indented to identify it as part of the function. There can be additional indentation within a function to handle other statements such as for and if so long as the lines are not indented less than the first line of the function code.

Function Parameters

# define a function my_function() with parameter x def my_function(x): return x + 1 # invoke our function print(my_function(2)) # outputs: 3 print(my_function(3 + 5)) # outputs: 9

Sometimes functions require input to provide data for their code. This input is defined using parameters.

Parameters are variables that are defined in the function definition. They are assigned the values which were passed as arguments when the function was called, elsewhere in the code.

For example, the function definition defines parameters for a character, a setting, and a skill, which are used as inputs to write the first sentence of a book.

Multiple Parameters

# define a function my_function() with parameter x def my_function(x): return x + 1 # invoke our function print(my_function(2)) # outputs: 3 print(my_function(3 + 5)) # outputs: 9

Python functions can have multiple parameters. Just as you wouldn’t go to school without both a backpack and a pencil case, functions may also need more than one input to carry out their operations.

To define a function with multiple parameters, parameter names are placed one after another, separated by commas, within the parentheses of the function definition.

Function Arguments

# define a function my_function() with parameter x def my_function(x): return x + 1 # invoke our function print(my_function(2)) # outputs: 3 print(my_function(3 + 5)) # outputs: 9

Parameters in python are variables — placeholders for the actual values the function needs. When the function is called, these values are passed in as arguments.

For example, the arguments passed into the function .sales() are the “The Farmer’s Market”, “toothpaste”, and “$1” which correspond to the parameters grocery_store, item_on_sale, and cost.

Function Keyword Arguments

# define a function my_function() with parameter x def my_function(x): return x + 1 # invoke our function print(my_function(2)) # outputs: 3 print(my_function(3 + 5)) # outputs: 9

Python functions can be defined with named arguments which may have default values provided. When function arguments are passed using their names, they are referred to as keyword arguments. The use of keyword arguments when calling a function allows the arguments to be passed in any order — not just the order that they were defined in the function. If the function is invoked without a value for a specific argument, the default value will be used.

Returning Value from Function

# define a function my_function() with parameter x def my_function(x): return x + 1 # invoke our function print(my_function(2)) # outputs: 3 print(my_function(3 + 5)) # outputs: 9

A return keyword is used to return a value from a Python function. The value returned from a function can be assigned to a variable which can then be used in the program.

In the example, the function check_leap_year returns a string which indicates if the passed parameter is a leap year or not.

Returning Multiple Values

# define a function my_function() with parameter x def my_function(x): return x + 1 # invoke our function print(my_function(2)) # outputs: 3 print(my_function(3 + 5)) # outputs: 9

Python functions are able to return multiple values using one return statement. All values that should be returned are listed after the return keyword and are separated by commas.

In the example, the function square_point() returns x_squared, y_squared, and z_squared.

Parameters as Local Variables

# define a function my_function() with parameter x def my_function(x): return x + 1 # invoke our function print(my_function(2)) # outputs: 3 print(my_function(3 + 5)) # outputs: 9

Function parameters behave identically to a function’s local variables. They are initialized with the values passed into the function when it was called.

Like local variables, parameters cannot be referenced from outside the scope of the function.

In the example, the parameter value is defined as part of the definition of my_function, and therefore can only be accessed within my_function. Attempting to print the contents of value from outside the function causes an error.

Global Variables in Python

# define a function my_function() with parameter x def my_function(x): return x + 1 # invoke our function print(my_function(2)) # outputs: 3 print(my_function(3 + 5)) # outputs: 9

A variable that is defined outside of a function is called a global variable. It can be accessed inside the body of a function.

In the example, the variable a is a global variable because it is defined outside of the function prints_a. It is therefore accessible to prints_a, which will print the value of a.

The Scope of Variables

# define a function my_function() with parameter x def my_function(x): return x + 1 # invoke our function print(my_function(2)) # outputs: 3 print(my_function(3 + 5)) # outputs: 9

In Python, a variable defined inside a function is called a local variable. It cannot be used outside of the scope of the function, and attempting to do so without defining the variable outside of the function will cause an error.

In the example, the variable a is defined both inside and outside of the function. When the function f1() is implemented, a is printed as 2 because it is locally defined to be so. However, when printing a outside of the function, a is printed as 5 because it is implemented outside of the scope of the function.

Chevron Left Icon
Introduction to Functions
Lesson 1 of 2
Chevron Right Icon
  1. 1
    A function is a collection of several lines of code. By calling a function, we can call all of these lines of code at once, without having to repeat ourselves. So, a function is a tool that yo…
  2. 2
    Let’s imagine that we are creating a program that greets customers as they enter a grocery store. We want a big screen at the entrance of the store to say: Welcome to Engrossing Grocers. Our spec…
  3. 3
    We have seen the value of simple functions for modularizing code. Now we need to understand how to write a function. To write a function, you must have a heading and an indented block of code. The …
  4. 4
    Consider this function: def greet_customer(): print(“Welcome to Engrossing Grocers.”) print(“Our special is mandarin oranges.”) print(“Have fun shopping!”) The three print statements…
  5. 5
    Let’s return to Engrossing Grocers. The special of the day will not always be mandarin oranges, it will change every day. What if we wanted to call these three print statements again, except with a…
  6. 6
    Our grocery greeting system has gotten popular, and now other supermarkets want to use it. As such, we want to be able to modify both the special item and the name of the grocery store in a greetin…
  7. 7
    In our greet_customer() function from the last exercise, we had two arguments: def greet_customer(grocery_store, special_item): print(“Welcome to “+ grocery_store + “.”) print(“Our special …
  8. 8
    So far, we have only seen functions that print out some result to the console. Functions can also return a value to the user so that this value can be modified or used later. When there is a result…
  9. 9
    Sometimes we may want to return more than one value from a function. We can return several values by separating them with a comma: def square_point(x_value, y_value): x_2 = x_value * x_value y…
  10. 10
    Let’s say we have our function from the last exercise that creates a string about a special item: def create_special_string(special_item): return “Our special is “ + special_item + “.” What if…
  11. 11
    Great! So far you have learned: - How to write a function - How to give a function inputs - How to return values from a function - What scope means Let’s practice these concepts again so that you…
  1. 1
    This lesson will help you review Python functions by providing some challenge exercises. As a refresher, function syntax looks like this: def some_function(some_input1, some_input2): … do somet…
  2. 2
    average()
  3. 3
    tenth_power()
  4. 4
    introduction()
  5. 5
    square_root()
  6. 6
    tip()
  7. 7
    win_percentage()
  8. 8
    first_three_multiples()
  9. 9
    dog_years()
  10. 10
    remainder()
  11. 11
    lots_of_math()

What you'll create

Portfolio projects that showcase your new skills

Pro Logo

How you'll master it

Stress-test your knowledge with quizzes that help commit syntax to memory

Pro Logo