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Polymorphism topic power point presentation li.pptx

Polymorphism exists widely in Python. Operators like addition can work with different data types like integers, strings, lists, tuples, and dictionaries by supporting polymorphic "add" operations for each type. Methods like repr() also demonstrate polymorphism by converting data to strings in type-appropriate ways, such as converting an integer to its string representation. While Python supports advanced OOP features like operator overloading and multiple inheritance, it does not enforce strict encapsulation with private and public access modifiers, preferring simple syntax instead.

Engineering◦
Polymorphism • Polymorphism is an important definition in OOP. Absolutely, we can realize polymorphism in Python just like in JAVA. I call it “traditional polymorphism” • In the next slide, there is an example of polymorphism in Python. • But in Python, Only traditional polymorphism exist?
Everywhere is polymorphism in Python (2) • So, in Python, many operators have the property of polymorphism. Like the following example: • Looks stupid, but the key is that variables can support any objects which support ‘add’ operation. Not only integer but also string, list, tuple and dictionary can realize their relative ‘add’ operation.
Everywhere is polymorphism in Python (3) • Some methods in Python also have polymorphism character like ‘repr’ function. • For ‘repr’ method, it can transfer any kinds of data to string type. In the above example, it converts integer 123 to string ‘123’ and it can even added to string c ‘string’ to get ‘123string’.
Conclusion • As a OOP language, Python has its special advantages but also has its disadvantages. • Python can support operator overloading and multiple inheritance etc. advanced definition that some OOP languages don’t have. • The advantages for Python to use design pattern is that it supports dynamic type binding. In other words, an object is rarely only one instance of a class, it can be dynamically changed at runtime. • But Python might ignore a basic regulation of OOP: data and methods hiding. It doesn’t have the keywords of ‘private’, ‘public’ and ‘protected’ to better support encapsulation. But I think it aims to guarantee syntax simple. As the inventor of Python, Guido Van Rossum said: “abundant syntax bring more burden than help”.