In fact, multiple inheritance is the only case where super() is of any use. I would not recommend using it with classes using linear inheritance, where it's just useless overhead.

As you've noticed, doing so would break multiple inheritance because you end up calling another class's __init__ rather than object.__init__(). (Disclaimer: Avoiding super().__init__() in object …

Well, when dealing with multiple inheritance in general, your base classes (unfortunately) should be designed for multiple inheritance. Classes B and C in your example aren't, and thus you …

This is known as "diamond inheritance" and it is a big problem for many multiple inheritance systems (like in C++). Python's collaborative multiple inheritance (with super()) lets you solve …

Jan 8, 2013 · The point of all of this is to relieve you of having to explicitly pick which __init__ methods to call. The question here is why you don't want to call all of the superclass __init__ …

1021 A mixin is a special kind of multiple inheritance. There are two main situations where mixins are used: You want to provide a lot of optional features for a class. You want to use one …

Aug 26, 2022 · See python multiple inheritance passing arguments to constructors using super for more discussion of parameter passing to __init__() methods with multiple inheritance. So you …

Dec 31, 2011 · Python multiple inheritance is like a chain, in Child class mro, the super class of ParentA is ParentB, so you need call super().__init__() in ParentA to init ParentB.

Mar 2, 2015 · 0 You could also set the other class's metaclass to ABCMeta so that all the multiple base classes's metaclass are ABCMeta. I had a similar problem when using multiple …

May 13, 2009 · In short, the key difference from an inheritance is that mix-ins does NOT need to have a "is-a" relationship like in inheritance. From the implementation point of view, you can …