The Algebra of Code, Volume 1: Explore Set Theory, Abstract Algebra, and Category Theory with Functional Programming - Marjane Mall - Image 1
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The Algebra of Code, Volume 1: Explore Set Theory, Abstract Algebra, and Category Theory with Functional Programming

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Livraison entre le Mercredi 9 septembre 2026 et le Jeudi 10 septembre 2026

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Marque : GENERIC
Vendu par HEAVENBOOKS.MA

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 ...

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Description produit

Marque
GENERIC
Titre
The Algebra of Code, Volume 1: Explore Set Theory, Abstract Algebra, and Category Theory with Functional Programming
Éditeur
No Starch Press
Type de produit
Paperback
Présentation du livre
Paperback
Date de sortie
10/20/2026 12:00:00 AM
Langue d'origine
English
ISBN
1718501609
Nombre de pages
648 pages
Langue
English
Résumé
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. Read more
Auteur
Paul Orland
Date de parution
10/20/2026 12:00:00 AM