How To Master Fast Distributed Computing With Ray
Stop wasting your server’s multi-core power. Learn how to master Distributed Computing with Ray to scale your Python scripts from one core to sixty-four with minimal code changes. Ahmad Wael shares a real-world story of fixing a client’s slow data pipeline and why Ray is the pragmatic choice over standard multiprocessing.