Functional Programming

Functional Programming

Learning Path — 18 articles

1 Functional Programming Basics: A Beginner's Guide Learn functional programming fundamentals — pure functions, immutability, first-class functions, and why FP matters for … 9 min Start Here 2 Pure Functions: The Foundation of Functional Programming Learn pure functions — determinism, referential transparency, no side effects, and writing predictable, testable, and … 9 min Start Here 3 Immutability: Principles and Best Practices Learn immutability in programming — persistent data structures, state management, benefits for concurrency, and … 8 min Start Here 4 Higher-Order Functions: Map, Filter, and Reduce Learn higher-order functions — map, filter, reduce, function composition, currying, and transforming data functionally. 8 min 5 Functional Programming in JavaScript: Practical Guide Learn functional programming in JavaScript — array methods, closures, currying, composition, Ramda, lodash/fp, and … 8 min 6 Elixir: Functional Programming for Concurrent Systems Learn Elixir — functional programming with pattern matching, pipes, OTP, and building fault-tolerant concurrent … 9 min 7 Haskell: A Beginner's Guide to Pure Functional Programming Learn Haskell — pure functions, lazy evaluation, type classes, monads, GHC tooling, and building reliable concurrent … 9 min 8 F#: Functional Programming on the .NET Platform Learn F# — functional-first .NET language, discriminated unions, pattern matching, type providers, async workflows, and … 8 min 9 Scala: Functional Programming on the JVM Learn Scala functional programming — case classes, pattern matching, for-comprehensions, type system, Akka, and … 8 min 10 FP vs OOP: When to Use Which Paradigm Compare functional programming and object-oriented programming. Learn strengths, weaknesses, and hybrid approaches for … 8 min 11 Recursion in Functional Programming: Tail Calls and Patterns Learn recursion patterns in FP — tail call optimization, fold/reduce, recursive data structures, and avoiding stack … 8 min 12 Lazy Evaluation: Deferred Computation in FP Lazy vs eager evaluation, infinite data structures, memoization, and optimization through deferred computation. 8 min 13 Type Classes: Ad-Hoc Polymorphism in FP Type classes, interfaces, ad-hoc overloading, and polymorphism in functional programming languages. 8 min 14 Category Theory for Programmers: A Gentle Introduction Learn category theory basics — categories, functors, natural transformations, and how they apply to functional … 8 min 15 Error Handling in FP: Either, Try, and Validation Learn functional error handling — Either, Try, Validation, applicative error accumulation, and composing failure-prone … 9 min 16 Monads Explained: The Functional Programming Superpower Learn monads from first principles — Maybe, Either, IO, and List monads. Understand functors, monads, bind, and … 7 min Advanced 17 Functional Patterns: Composition, Currying, and Pipelines Learn essential functional programming patterns — function composition, currying, partial application, pipelines, and … 7 min Advanced 18 Currying and Function Composition in Depth Master currying and function composition in functional programming. Partial application, pipeline patterns, and … 9 min Advanced