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{ "item_title" : "The Algebra of Code, Volume 1", "item_author" : [" Paul Orland "], "item_description" : "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.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/1/71/850/160/1718501609_b.jpg", "price_data" : { "retail_price" : "54.99", "online_price" : "54.99", "our_price" : "54.99", "club_price" : "54.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
The Algebra of Code, Volume 1|Paul Orland

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

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Overview

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.

Details

  • ISBN-13: 9781718501607
  • ISBN-10: 1718501609
  • Publisher: No Starch Press
  • Publish Date: January 2027
  • Page Count: 648

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