Vorbesteller
Neu
The Algebra of Code, Volume 1 Explore Set Theory, Abstract Algebra, and Category Theory with Functional Programming
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- Taschenbuch
- eBook ausgewählt
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Form:Einzelkauf Download
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Sprache:Englisch
Fr. 46.90
inkl. gesetzl. MwSt.Artikel erhalten
Beschreibung
Produktdetails
Format
ePUB
Kopierschutz
Nein
Family Sharing
Ja
Text-to-Speech
Ja
Erscheinungsdatum
20.10.2026
Verlag
No Starch Press,USSeitenzahl
550 (Printausgabe)
Sprache
Englisch
EAN
9781718501614
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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