threading

The threading module allows multiple tasks to run concurrently. However, due to the Global Interpreter Lock (GIL), Python threads don’t run in true parallelism. They are useful for I/O-bound operations like downloading files or reading web pages.

Example

import threading
import time
 
def print_numbers():
    for i in range(5):
        print(f"Number: {i}")
        time.sleep(1)
 
# Creating two threads
t1 = threading.Thread(target=print_numbers)
t2 = threading.Thread(target=print_numbers)
 
t1.start()
t2.start()
 
t1.join()
t2.join()
 
print("Both threads finished execution.")

Threads share memory and run concurrently, allowing for efficient handling of I/O-heavy tasks.