Are you aware of the concept of multithreading and its application?

Multithreading is the ability of a program to execute multiple threads (independent sequences of instructions) simultaneously, which helps improve resource utilization efficiency, especially on multi-core processors.

In Python, multithreading is often used for input/output-bound tasks (such as network requests, file operations) to avoid blocking the main execution thread.

Example of using multithreading in Python with the threading module:

import threading
import time

def worker(num):
    print(f"Thread {num} started")
    time.sleep(2)
    print(f"Thread {num} finished")

threads = []
for i in range(3):
    t = threading.Thread(target=worker, args=(i,))
    threads.append(t)
    t.start()

for t in threads:
    t.join()

print("All threads are finished")

This example launches three threads that run the worker function in parallel. Multithreading helps improve responsiveness and performance of programs, especially when waiting for external operations.