Vorbesteller
Neu
The Algebra of Code, Volume 1 Explore Set Theory, Abstract Algebra, and Category Theory with Functional Programming
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- Taschenbuch ausgewählt
- eBook
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Sprache:Englisch
Fr. 82.90
inkl. gesetzl. MwSt.,
Beschreibung
Produktdetails
Einband
Taschenbuch
Erscheinungsdatum
12.01.2027
Verlag
Random House LLC USSeitenzahl
648
Maße (L/B)
23.5/17.8 cm
Gewicht
368 g
Sprache
Englisch
ISBN
978-1-71850-160-7
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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