Lesson 11: Concurrency and Parallelism #3
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- Implement `sensors.py` to demonstrate Threading for I/O bound tasks. - Implement `analytics.py` to demonstrate Multiprocessing for CPU bound tasks. - Create `robot.py` to orchestrate both paradigms. - Add `benchmark_gil.py` to empirically prove GIL limitations on threads vs processes. - Add comprehensive README.md with theory and instructions.
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Lesson 11 focuses on the critical distinction between Threading and Multiprocessing in Python, explaining the GIL and demonstrating when to use each. It includes a Robot Simulator project and a benchmark script.
PR created automatically by Jules for task 11772913440554226702 started by @pjfernandecabo