threading python
import threading
import time
def thread_function(name):
print(f"Thread {name}: starting")
time.sleep(2)
print(f"Thread {name}: finishing")
my_thread = threading.Thread(target=thread_function, args=(1,))
my_thread.start()
time.sleep(1)
my_second_thread = threading.Thread(target=thread_function, args=(2,))
my_second_thread.start()
my_second_thread.join() # Wait until thread finishes to exitpython daemon thread
import threading
import time
shared_resource = False # Set the resource to False initially
lock = threading.Lock() # A lock for the shared resource
def perform_computation():
# Thread A will call this function and manipulate the resource
print(f'Thread {threading.currentThread().name} - performing some computation....')
shared_resource = True
print(f'Thread {threading.currentThread().name} - set shared_resource to True!')
print(f'Thread {threading.currentThread().name} - Finished!')
time.sleep(1)
def monitor_resource():
# Thread B will monitor the shared resource
while shared_resource == False:
time.sleep(1)
print(f'Daemon Thread {threading.currentThread().name} - Detected shared_resource = False')
time.sleep(1)
print(f'Daemon Thread {threading.currentThread().name} - Finished!')
if __name__ == '__main__':
a = threading.Thread(target=perform_computation, name='A')
b = threading.Thread(target=monitor_resource, name='B', daemon=True) # Make thread B as a daemon thread
# Now start both threads
a.start()
b.start()Copyright © 2021 Codeinu
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