[python] Understanding Python super() with __init__() methods

The main difference is that ChildA.__init__ will unconditionally call Base.__init__ whereas ChildB.__init__ will call __init__ in whatever class happens to be ChildB ancestor in self's line of ancestors (which may differ from what you expect).

If you add a ClassC that uses multiple inheritance:

class Mixin(Base):
  def __init__(self):
    print "Mixin stuff"
    super(Mixin, self).__init__()

class ChildC(ChildB, Mixin):  # Mixin is now between ChildB and Base
  pass

ChildC()
help(ChildC) # shows that the Method Resolution Order is ChildC->ChildB->Mixin->Base

then Base is no longer the parent of ChildB for ChildC instances. Now super(ChildB, self) will point to Mixin if self is a ChildC instance.

You have inserted Mixin in between ChildB and Base. And you can take advantage of it with super()

So if you are designed your classes so that they can be used in a Cooperative Multiple Inheritance scenario, you use super because you don't really know who is going to be the ancestor at runtime.

The super considered super post and pycon 2015 accompanying video explain this pretty well.

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