Arguments in Python Functions

In Python, an argument is the value passed to a function when it's called. Fundamentally, parameters are the variables inside a function's parentheses. Arguments provide values for those parameters.

What are Function Arguments in Python?

In programming, we utilize functions to organize our code and make it simpler to reuse. Like a recipe ūüćē, a function encompasses a set of instructions (code) that tells the computer what to do. However, like a chef ūüßĎ‚Äćūüć≥, we may have to plan different types of dishes (execute the function) with diverse ingredients (arguments) and cooking strategies (parameters).

For illustration, let's say you have got a function called make_pizza ūüćē. This function contains a set of instructions that tell the computer how to make a pizza ūüćē, but it needs a few pieces of information about the type of pizza to make. You can pass this information as arguments once you call the function. Here's what the code for make_pizza might see like:


ūüďĒ Note that the pizza_type and toppings are the arguments that are passed to the make_pizza function, and the shortcodes ūüćÖ and cheese are used instead of emojis in the text. This way, you can add shortcodes or placeholders to your code to represent emojis and make it more expressive and fun! ūüėÉūüéČ

Arguments make functions more versatile, enabling them to perform useful computations. Without arguments, functions cannot respond dynamically or process different data, making them less flexible and reusable for various tasks. In general, Function arguments are input values that determine the behavior and output of a function. By passing different arguments, we can customize the function's behavior and process different inputs to generate different outputs.

Types of Function Arguments in Python

Python has four built-in function argument types we can use to call functions and have them perform their intended tasks. These are:

  1. Default Arguments
  2. Keyword Arguments
  3. Arbitrary Arguments
  4. Required Arguments

Default Arguments

Default arguments in Python have pre-set values if the user does not specify them when calling the function. The default value can be any data type like a list, dictionary, string, number, etc.Default arguments are defined by assigning values to arguments in the function definition. The syntax is:




The above code defines a function called "greet" which takes a required argument called "name" and an optional argument called "greeting". If the user does not provide a value for the "greeting" argument, it will use the default value of "Hello". The function prints out a greeting using the supplied name and greeting. If the user calls the function with only one argument, the default value of "Hello" will be used for the "greeting" argument. If the user calls the function with both arguments, then the value provided by the user will be used.

Keyword Arguments

Keyword arguments, or named arguments, are parameters passed to a Python function that specify the argument name and value. This makes the code more readable by eliminating the need to remember the order of parameters. Keyword arguments can also set default values for unspecified parameters. Using keyword arguments enhances code readability and maintainability. Keyword arguments explicitly state which argument matches which parameter. This avoids ambiguity and clarifies the developer's intent.





This code defines a function called "greeting" that takes two arguments (name and age) and an optional keyword argument (gender). The function body prints a greeting message with the parameters passed to it. The code shows how to call the greeting function, passing in the required parameters and an optional keyword argument. The code output is the greeting message with the parameters' values.

Arbitrary Arguments

Arbitrary arguments in Python enable functions to accept an unlimited number of arguments. This allows for flexibility when creating functions that require an unknown number of arguments. Arbitrary arguments are denoted with an asterisk (*) before the argument name . These arguments can create a list  or dictionary of the passed arguments.





This code defines a function called sum_numbers which takes an arbitrary number of arguments. The asterisk before args indicates that this argument will take an arbitrary number of arguments. When the function is called, it takes in a series of numbers as arguments and adds them together, returning the sum. The function then iterates through each of the arguments, adding them together and storing the total in a variable called the result. Finally, the function returns the result.

Required Arguments

Required arguments are when calling a function. They are position-dependent, meaning their matters. Required arguments are defined when the function is created and cannot when the function is called. Arguments must be given in the same as defined when invoking a function.





This code defines a function named my_function that accepts two arguments, arg1, and arg2. The code calls the function, passing 10 and 20 as the two arguments. The function adds arg1 and arg2, then returns the result. The result of the function is stored in the variable result, then printed to the screen, showing the value 30.


Function arguments are values passed to a function when it is called. On the other hand, parameters are the variables inside the function's parentheses. There are four types of function arguments in Python: required arguments, default arguments, keyword arguments, and arbitrary arguments. Default arguments have pre-set values, keyword arguments are passed as named arguments, and arbitrary arguments permit a variable number of arguments to be passed to a function.

Key Takeaways

  1. A function can take any number of arguments, and the arguments can be of any type.
  2. Arguments can be characterized as positional or keyword arguments and given default values.
  3. Keyword arguments must take after positional arguments within the function definition.
  4. The values passed to arguments can be adjusted when calling a function.
  5. Arguments can be passed as a single collection object, like a list or dictionary.
  6. Variables characterized inside the function scope are not available outside the function.
  7. The return statement can pass a value back to the calling code.


  1. What is the purpose of the keyword 'return' in a Python function? 
    1. To end the function 
    2. To print a statement  
    3. To return the output of the function 
    4. To assign a value to a variable

Answer: c. To return the output of the function

  1. What are the two main components of a Python function? 
    1. Arguments and return values 
    2. Variables and code blocks 
    3. Arguments and code blocks 
    4. Return values and variables

Answer: c. Arguments and code blocks

  1. What is the purpose of the keyword 'def' in a Python function?  
    1. To define a variable 
    2. To define a function  
    3. To execute a function  
    4. To print a statement

Answer: b. To define a function

  1. What is the purpose of the keyword 'pass' in a Python function?  
    1. To ignore a statement  
    2. To execute a function 
    3. To define a function 
    4. To define a variable

Answer: a. To ignore a statement

Module 6: Functions in PythonArguments in Python Functions

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