Python provides two ways to work around the GIL issue: threading and multiprocessing, allowing long-running jobs to be executed in parallel batches.
In CPython, threads are actual operating system-level threads but are serialized by the GIL, ensuring only one can modify Python objects at a time.
Python threads are ideal for I/O-bound tasks while processes are better suited for CPU-bound tasks, allowing for optimization of workload execution.
New developments like the no-GIL version of Python and the subinterpreter system are potential future solutions for better concurrency and parallelism.
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