Python Generics, Type Constraints & Associated Types
Generics allow you to write flexible, reusable functions and types that work with any type while maintaining strict compile-time type safety. Master generic parameters (<T>), type constraints (T: Numeric, T: Equatable), generic structs, and where clauses.
"A non-generic box is shaped to hold only a single specific shoe. A generic Container<T> is a universal shipping container: it safely transports whatever payload you seal inside (Electronics, Books, Vehicles) while strictly ensuring you get the exact same type back out."
Deep Dive: How It Works
Generic Functions: func swapValues<T>(_ a: inout T, _ b: inout T) works uniformly across all types in Swift.
Type Constraints: func findIndex<T: Equatable>(of item: T, in list: [T]) -> Int? requires that T supports equality checks.
Generic Types: struct Stack<Element> defines a custom LIFO data structure capable of holding any data type.
Where Clauses: Enforce complex relationship constraints (where T: Sequence, T.Element == String).
Syntax Blueprint
struct Stack<T> {
var items: [T] = []
mutating func push(_ item: T) { items.append(item) }
mutating func pop() -> T? { items.popLast() }
}Define generic types using <T> and constrain parameters with <T: Comparable>.
Core Rules to Remember



Common Beginner Traps & How to Fix Them
Trying to compare generic items (if itemA == itemB) without constraining T: Equatable.Why it happens: Generic T could be a type that does not support equality comparison.
How to fix: Constrain the generic parameter: <T: Equatable>.
Live Interactive Example
Hit Run Code to see it liveYour Turn: Micro Challenge
No pressure! Edit the starter code below and test your solution with instant feedback.
Generic Duplicate Value Finder
Write a generic function hasDuplicate<T: Hashable>(_ array: [T]) -> Bool.
Use Set<T> to check if Set(array).count < array.count.
In top-level code, test with [1, 2, 3, 2] and print "Has duplicates: \(hasDuplicate([1, 2, 3, 2]))".
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