This surprisingly accessible book uses key math concepts and more than 500 short exercises to teach functional programming to experienced coders. A hands-on, exercise-driven guide that teaches functional programming and real mathematics – set theory, abstract algebra, and category theory – together, using more than 500 short coding exercises in F#. Category theory, abstract algebra, and set theory aren’t just academic abstractions – they’re the mathematical backbone of functional programming patterns that working developers use every day. The Algebra of Code makes those connections explicit, using the F# language and more than 500 short exercises to build fluency in both the math and the code simultaneously. Paul Orland – an F# Software Foundation-recognized expert and author of Math for Programmers – starts with core functional programming concepts (functions, types, recursion, composition) and introduces the mathematical structures behind them: sets, groups, monoids, functors, and eventually categories. Each concept arrives with code you can run, exercises you can solve, and explanations that connect the abstraction to concrete software design decisions. The result is a book where the math makes you a better programmer and the programming makes you a better mathematical thinker.
