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Functional Programming Demystified: Write Elegant Code with Haskell, Elixir, and JavaScript

by Priya Mendez , Darius Kimani , Isabella Trent
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Current price ₹1,507.00
Original price ₹1,682.00
Original price ₹1,682.00
Original price ₹1,682.00
(-10%)
₹1,507.00
Current price ₹1,507.00

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Book cover type: Paperback
  • ISBN13: 9798285191865
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Publication Date:
  • Pages: 184
  • Original Price: GBP 13.29
  • Language: English
  • Edition: N/A
  • Item Weight: 254 grams
  • BISAC Subject(s): Programming / General

Unleash the full power of functional programming and revolutionize the way you build backend systems.

In Functional Programming Demystified, you'll go beyond theory and dive into real-world application using three powerful languages-Haskell for mathematical precision, Elixir for scalable concurrency, and JavaScript for cross-platform flexibility. Whether you're a backend developer looking to adopt FP principles or a seasoned engineer seeking to improve code clarity, this book is your ultimate roadmap.

What You'll Learn:

  • Master immutable data structures and pure functions to build bug-resistant applications.

  • Leverage pattern matching, monads, and type inference in Haskell for expressive, type-safe programming.

  • Harness OTP, actor models, and message-passing concurrency in Elixir for fault-tolerant web services.

  • Apply functional pipelines, closures, and first-class functions in JavaScript for clean, modular logic.

  • Build RESTful APIs with stateless architecture using FP principles.

  • Integrate with real-time systems and event-driven design for reactive programming at scale.

  • Refactor legacy codebases with function composition, higher-order functions, and currying.

  • Implement microservices and functional domain modeling to design scalable backend ecosystems.

Perfect for:

  • Software engineers transitioning to FP

  • Backend developers focused on scalability and performance

  • Programmers aiming to improve code maintainability and testability

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