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Free-threaded Python (Interview)
The Changelog: Software Development, Open Source
Locking Limits: Concurrency Without Parallelism
Implementing a comprehensive lock around the Python interpreter ensures that only one thread can execute Python code at a time. While this allows for concurrency, as threads can switch back and forth without having to wait for each other to complete, it inherently restricts parallelism. This limitation poses a significant challenge in modern computing environments that boast multiple cores, such as high-performance servers or smartphones, where the full potential of parallel execution cannot be harnessed.
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