An Introduction to Functional Programming in Go - Eleanor McHugh, Innovative Identity Solutions

Functions in Go can maintain state by using closures and internal variables that persist across function calls

Go supports functional programming concepts like higher-order functions, recursion, and memoization despite not being a purely functional language

The Y Combinator pattern enables recursion without explicit function names by creating self-referential function pairs

Generics in modern Go allow for cleaner implementation of functional patterns by removing the need for interface{} and type assertions

Memoization/caching of function results (like factorial calculations) can significantly improve performance for expensive recursive operations

Function closures provide a way to have “private” state without global variables by encapsulating data within function scope

Go’s defer/panic/recover mechanism can be used for error handling in functional programming patterns

Duck typing through interfaces allows for flexible function implementations similar to dynamic languages while maintaining type safety

Functions can be used as values, passed as parameters, and returned from other functions in Go

Functional patterns can help separate business logic from implementation details through function composition and transformation