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Explore parallel programming with threads in this 35-minute EuroPython 2017 conference talk. Discover how to leverage multiple CPUs for IO-bound tasks, bypassing the Global Interpreter Lock (GIL) limitations. Learn from a real-world scientific simulation model that reduced runtime from 15 hours to 2 hours by implementing up to 50 threads on an eight-core machine. Understand the advantages of threading over asynchronous programming for certain use cases, and gain insights into scaling your programs for improved performance. Dive into practical examples of handling input data extraction, simulation execution, and output data management in parallel.
