Functional Programming Patterns in Rust — Forge College
In this lesson you’ll learn practical functional programming patterns in Rust that reduce mutable state, make closures and lifetimes easier to reason about, and let you build composable iterator pipelines useful for systems and Solana code. Expect concrete techniques you can apply immediately to replace mutation-heavy loops.
This lesson sits in the Programming with Solana track, inside the Introduction to Rust for Solana course, and is part of the module Functional Programming in Rust and Understanding Lifetimes. It establishes the mental model of immutability, pure functions, and composition before you dive deeper into closures and lifetime subtleties.
Topics covered
Immutability and pure functions: why keeping values immutable reduces reasoning complexity and interplay with ownership and borrowing
Higher-order iterator adapters: using map, filter, and fold with lazy iterators to replace explicit mutation-based loops
Composing small transformation functions into pipelines using closures and iterator chains
Trait-based abstraction for writing generic, functional-style functions that accept iterator-compatible types
How functional style affects ownership, borrowing, and lifetimes in practice, with a worked example that filters negatives, transforms values, and accumulates a result
Full playlist:
• Forge College — Introduction to Rust for S...
Ready to keep learning and apply these patterns to real Rust and Solana projects? Visit https://www.forge.college/
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