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Asked by Krity Last Modified
Answer 
Python’s threading module allows multithreading, but due to the Global Interpreter Lock (GIL), it’s best for I/O-bound tasks (not CPU-bound).
Example: Basic Multithreading
import threading
def print_numbers():
for i in range(5):
print(i)
thread = threading.Thread(target=print_numbers)
thread.start()
thread.join() # Wait for the thread to finish
Best for I/O-bound tasks (file handling, network requests)
For CPU-bound tasks, use multiprocessing instead
read less
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