The Algebra of Code, Volume 1 : Explore Set Theory, Abstract Algebra, and Category Theory with Functional Programming
by
Paul Orland
Book Details
Format
Paperback / Softback
ISBN-10
1718501609
ISBN-13
9781718501607
Publisher
No Starch Press,US
Imprint
No Starch Press,US
Country of Manufacture
US
Country of Publication
GB
Publication Date
Oct 20th, 2026
Print length
648 Pages
Product Classification:
Set theoryAlgebraFunctional analysis & transformsFunctional analysis and transforms
Ksh 8,650.00
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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.
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.
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