What are the implications of GIL in Python?
The Global Interpreter Lock (GIL) in Python can limit multi-threading performance, affecting CPU-bound programs.
How does GIL affect multi-threaded applications?
GIL allows only one thread to execute at a time, which can lead to performance bottlenecks in CPU-bound applications.
Are there any workarounds for GIL limitations?
Yes, you can use multiprocessing instead of threading, or consider using alternative Python implementations like Jython or IronPython.
What are the benefits of GIL?
GIL simplifies memory management and makes single-threaded programs easier to implement, reducing complexity.
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