From Built-in Concurrency Primitives to Large Scale Distributed Computing

This talk explains Python’s asynchronous execution models and concurrency primitives, then shows how they can be applied to large-scale distributed computation with frameworks such as Dask and Ray. Examples cover function execution, map-reduce operations, combining concurrency models, and data serialization.