Introduction to Parallel Programming and Python Parallel Libraries
This article introduces parallel programming concepts, memory architectures, execution models, Python threading versus multiprocessing performance, and reviews several Python parallel libraries such as Ray, Dask, Dispy, ipyparallel, and Joblib for building scalable concurrent applications.