\ Java is the first language I learned in my career. Its structure is foundational in my early years of understanding programming concepts. After going through several other languages with very different approaches, I've widened my point of view. Today, I want to reflect on the idea of inheritance.
Inheritance in JavaIn Java, the idea of inheritance is tightly coupled with the concept of subtyping. Subtyping is the implementation of a IS A relationship. For example, the Rabbit class is a subtype of the Mammal class. Henceforth, a Rabbit instance has all the behaviour of a Mammal: it inherits the behaviour.
\ Because of this, you can pass a Rabbit instance when a method calls for a Mammal parameter or return a Rabbit instance when a method return type is Mammal. If you've learned Java, .Net, or anything remotely similar, that's how you see inheritance, and it becomes the new normal.
\ It is explicit inheritance.
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class Animal { void feed(); } class Rabbit extends Animal { //1 }When I first looked at Go, I was amazed that it does not have subtyping while still providing inheritance. Go uses duck typing:
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If it looks like a duck, swims like a duck, and quacks like a duck, then it probably is.
\ If a Go struct implements the same functions as an interface, it implicitly implements the interface.
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type Animal interface { feed() //1 } type Rabbit struct { } func (rabbit Rabbit) feed() { //2 // feeds }\ I do dislike Go for its error-handling approach, but I was of two minds about implicit implementation. On one side, I understood it was a new concept, and I tried to stay open-minded; on the other hand, I think things are always better explicit than implicit, either in software development or real life.
Inheritance in PythonPython is the most interesting language I know of regarding inheritance.
\ Subtyping and type-based inheritance have been present in Python since its inception.
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class Animal: def feed(self): #1 pass #2 class Rabbit(Animal): #3 pass\ In this regard, Python works the same as Java in terms of inheritance. Python also offers duck typing, which I described as magic methods. For example, to make something iterable, e.g., that can return an iterator, you only need to implement __iter__() and __next__():
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class SingleValueIterable(): done = False def __init__(self, value): self.value = value def __iter__(self): #1 return self def __next__(self): #1 if self.done: raise StopIteration else: self.done = True return self.value svi = SingleValueIterable(5) sviter = iter(svi) #2 for x in sviter: print(x) #3\ The problem with this duck typing approach is that it works only for Python's predefined magic methods. What if you want to offer a class that a third party could inherit from implicitly?
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class Animal: def feed(): pass class Rabbit: def feed(): pass\ In the above snippet, Rabbit is not an Animal, much to our chagrin. Enter PEP 544, titled Protocols: Structural subtyping (static duck typing). The PEP solves the impossibility of defining magic methods for our classes. It defines a simple Protocol class: once you inherit from it, methods defined in the class become eligible for duck typing, hence the name - static duck typing.
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from typing import Protocol class Animal(Protocol): #1 def feed(): #2 pass class Rabbit: def feed(): #2 pass class VenusFlytrap: def feed(): #2 passObject-oriented programming, inheritance, and subtyping may have specific meanings that don't translate into other languages, depending on the first language you learn. Java touts itself as an Object-Oriented language and offers the complete package. Go isn't an OO language, but it still offers subtyping via duck typing. Python offers both explicit and implicit inheritance but no interfaces.
\ You learn a new programming language by comparing it with the one(s) you already know. Knowing a language's features is key to writing idiomatic code in your target language. Familiarize yourself with features that don't exist in your known languages: they will widen your understanding of programming as a whole.
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Originally published at A Java Geek on January 26th, 2025
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