How to Use Rayon for Easy Parallelism in Rust

Rayon is a data-parallelism library that automatically splits work across all available CPU cores using the par_iter() method on collections. Add rayon to your Cargo.toml, import the prelude, and call par_iter() on your collection to run operations in parallel.

[dependencies]
rayon = "1.10"

use rayon::prelude::*;

fn main() {
    let v = vec![1, 2, 3, 4, 5];
    let sum: i32 = v.par_iter().sum();
    println!("Sum: {}", sum);
}

Rayon lets you run code on multiple CPU cores at the same time without writing complex threading code. It works like a team of workers where you hand out a pile of tasks, and Rayon automatically figures out how to split them up and combine the results. You use it whenever you have a large list of items to process and want to finish the job faster.