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What Is Parametric Polymorphism?

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Parametric polymorphism is like a magic trick. It makes you think it's one thing, but then it turns out to be another. You see, parametric polymorphism sounds like it's all about types. In reality, it's more about functions. So, when you write code using parametric polymorphism, you're not thinking about the kind of data your function will work with. You're thinking about what it does with that data. The compiler will figure out how to apply your function to whatever types of data you pass into it. In generic programming languages and structures, parametric polymorphism is the core principle. It allows for creating generic functions and data types that operate on values regardless of data type. The idea is simple: instead of writing a function for each data type, we write one function to handle any data type. We can then use this function with any set of actual values, no matter what they are! The concept is powerful enough to build entire new programming languages on top of it. Still, it's also instrumental in Python and other languages where you might not have thought you could do much with it. Parametric polymorphism is like a party where you can bring your food. If you're the kind who likes to get your food (and why wouldn't you be?), then parametric polymorphism is for you. It doesn't matter what kind of food it is, or even if it's edible, you can bring whatever you like! It's called parametric polymorphism because it allows values to be attached without changing their data types when used in programming languages. Ada, Haskell, Visual Prolog, Scala, and Java are parametric polymorphic programming languages. For example, a program that operates on two different values might connect them even if they don't have the same data types. Joining a list of integers with a floating-point deal is an example.

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