Parallelism in Python has been a mysterious pinnacle of language mastery for many years, and with a few advancements in the community it has become even easier to do so. From easy imported threadpool controls, to advanced multiprocessing affinity and pinning techniques, the options to achieve parallelism are now quite within reach. In this workshop, learn how to use these frameworks to augment one’s Python code to enable granular control over parallelism workloads and combat oversubscription.
Slides: https://www.scribd.com/document/384826546/EuroPython-2018-Shailen-Sobhee