- Helps prevent race conditions and memory corruption
- The lock ensures only one thread can be run at a time, even when parallel resources are available.
- Locking the interpreter helped single threaded code performance
- Helps garbage collection and reference counting be more effective
Source: How much FASTER is Python 3.13 without the GIL? - ArjanCodes