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I'm trying to understand the use of super(). From the looks of it, both child classes can be created, just fine.
I'm curious to know about the actual difference between the following 2 child classes.
class Base(object): def __init__(self): print "Base created" class ChildA(Base): def __init__(self): Base.__init__(self) class ChildB(Base): def __init__(self): super(ChildB, self).__init__() ChildA() ChildB() 
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The “__init__” is a reserved method in python classes. It is known as a constructor in Object-Oriented terminology. This method when called, allows the class to initialize the attributes of the class. The super() function allows us to avoid using the base class name explicitly.
An Overview of Python's super() Function While the official documentation is fairly technical, at a high level super() gives you access to methods in a superclass from the subclass that inherits from it. super() alone returns a temporary object of the superclass that then allows you to call that superclass's methods.
The super() function in Python makes class inheritance more manageable and extensible. The function returns a temporary object that allows reference to a parent class by the keyword super. The super() function has two major use cases: To avoid the usage of the super (parent) class explicitly.
__init_subclass__(cls) method is called on a given class each time a subclass cls for that class is created. Syntax. Minimal Example. Class Hierarchy with __init_subclass__()
super() lets you avoid referring to the base class explicitly, which can be nice. But the main advantage comes with multiple inheritance, where all sorts of fun stuff can happen. See the standard docs on super if you haven't already.
Note that the syntax changed in Python 3.0: you can just say super().__init__() instead of super(ChildB, self).__init__() which IMO is quite a bit nicer. The standard docs also refer to a guide to using super() which is quite explanatory.
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