The Python Global Interpreter Lock (GIL) is a mutex that protects access to Python objects, preventing multiple threads from executing Python bytecode at once. This means that even in a multi-threaded program, only one thread can execute Python code at a time. The GIL's primary purpose is to ensure thread safety when accessing Python objects, but it can also be a hindrance to multi-threaded performance in CPU-bound programs.
When a thread acquires the GIL, it can execute Python code until it releases the GIL or is preempted by the interpreter. For I/O-bound programs, this may not be an issue, but for CPU-bound processes, the GIL can be a significant bottleneck in performance, as it prevents true parallel execution of threads.
# This is a Python example demonstrating the effect of GIL
import threading
counter = 0
def increment():
global counter
for _ in range(100000):
counter += 1
threads = []
for i in range(10):
thread = threading.Thread(target=increment)
threads.append(thread)
thread.start()
for thread in threads:
thread.join()
print(counter) # Expected output: 1000000
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