The super() function in Python is a built-in function that is used to call methods from a parent or superclass. It’s especially useful in the context of inheritance, allowing you to extend or override the functionality of methods defined in parent classes. Understanding how super() works is crucial for writing clean, maintainable, and robust object-oriented Python code.

One of the primary uses of super() is within the __init__ method of a subclass. This allows you to initialize the parent class’s attributes before adding or modifying attributes specific to the subclass.This ensures that the subclass inherits all the necessary setup from its parent.

How super() Works with Single Inheritance

In single inheritance scenarios, super() simplifies calling the parent class’s methods. Instead of explicitly naming the parent class, super() automatically resolves the parent class based on the class hierarchy. This makes the code more flexible and easier to maintain, especially if the class hierarchy changes.

Navigating Multiple Inheritance with super()

super() becomes even more powerful, and slightly more complex, when dealing with multiple inheritance. In this case, python uses something called Method Resolution Order (MRO) to determine the order in wich parent classes are searched for methods. The MRO is a predictable order that ensures methods are called in a consistent and logical manner.

Consider the example from Stack Overflow [[2]], where you have classes First and Second. When super() is called within the __init__ method of a class inheriting from both first and Second, it will first call the __init__ method of First. Subsequently, a call to super() within First will then call the __init__ method of Second. any further calls to super() will hit the default object initialization.