Explain Python GIL (Global Interpreter Lock) and how to bypass it for CPU-bound tasks
Quick Revision Summary
The Global Interpreter Lock (GIL) is a mutex in CPython that allows only one native thread to execute Python bytecode at a time, even on multi-core processors. It simplifies CPy...
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Model Answer & Deep-Dive Explanation
The Global Interpreter Lock (GIL) is a mutex in CPython that allows only one native thread to execute Python bytecode at a time, even on multi-core processors. It simplifies CPython's reference-counting memory management and guarantees thread-safety for non-thread-safe C extensions.
Consequences:
- I/O-bound tasks: Multi-threading works efficiently because threads release the GIL while waiting for network/disk responses.
- CPU-bound tasks: Standard multi-threading will not utilize multiple CPU cores concurrently.
Interviewer Evaluation Points & Scoring Rubric
- 1 Explain trade-offs between memory, CPU, and network latency.
- 2 Identify failure modes, boundary conditions, and scalability bottlenecks.
- 3 Discuss caching strategies, data consistency models, and recovery.
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