parallelism

Rayon makes data parallelism trivial: replace .iter() with .par_iter(), and your loop runs in parallel across all CPU cores. It uses a work-stealing scheduler to balance load automatically. I use rayon for CPU-bound tasks like image processing, data t

Ruby 3+ introduces Ractors for true parallelism without GIL limitations. Ractors are isolated actors—no shared mutable state. I use Ractors for CPU-intensive parallel processing. Messages pass between Ractors via send and receive. Async gem provides s