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Explore a groundbreaking approach to achieving true parallelism in Python through subinterpreters and immutability in this 29-minute PyCon US talk. Discover the "memhive" framework, which implements a worker pool of subinterpreters, an efficient RPC mechanism, and async/await-ready API. Learn about fundamental data structures like tuples, mappings, and scalar types that enable efficient structured data sharing between Python subinterpreters. Gain insights into unlocking parallelism without the overhead of data serialization and understand the underlying algorithms driving this innovation. Access the presentation slides for a comprehensive overview of this novel technique to overcome the Global Interpreter Lock (GIL) in Python.
