Explain How Python’s GIL Affects Multi-Threading Performance and How to Mitigate Its Impact

The GIL affects multi-threading by allowing only one thread to execute Python bytecode at a time. It can be mitigated by using multi-processing or native extensions.

Example using multi-processing:

from multiprocessing import Process

def worker():
    print('Worker running')

process = Process(target=worker)
process.start()
process.join()