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Functional Programming Patterns

Functional Programming Patterns are reusable solutions and design principles derived from functional programming paradigms, emphasizing immutability, pure functions, and higher-order functions to manage state and side effects. They include patterns like map/filter/reduce, monads, currying, and function composition, which help write declarative, predictable, and testable code. These patterns are applied across various programming languages to solve common problems in a functional style.

Also known as: FP Patterns, Functional Patterns, Functional Design Patterns, Functional Idioms, FP Idioms
🧊Why learn Functional Programming Patterns?

Developers should learn Functional Programming Patterns to build more maintainable and scalable applications, especially in domains like data processing, concurrent systems, and front-end development where immutability and pure functions reduce bugs. They are crucial when working with frameworks like React (using hooks and state management) or languages like Scala and Haskell, enabling cleaner code through patterns like immutability and declarative transformations.

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