Python memory management — GIL, garbage collection, and object allocation
2 months ago
The Global Interpreter Lock (GIL) prevents true parallel execution of Python bytecode on multiple cores. Each object carries a reference count for GC; cyclic references are caught by a generational collector. For CPU-bound parallelism use multiprocessing instead of threading.
2 months ago
GIL still makes sense for many workloads even if it seems like a limitation. The reference counting GC
2 months ago
The CPython GC's reference counting + cyclic detector is fine for most use cases but becomes
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