What methods can be used to control the number of threads or tasks running simultaneously when accessing a resource within a given time period?

In Python, to control the number of threads or tasks executing simultaneously when accessing a resource, the following are often used:

• Semaphore from the threading or asyncio module — limits the number of threads or coroutines running at the same time.
• ThreadPoolExecutor or ProcessPoolExecutor from the concurrent.futures module — manage a pool of threads or processes.
• asyncio.BoundedSemaphore — for asynchronous code.

Example with a semaphore:

import threading

semaphore = threading.Semaphore(3)  # maximum 3 threads at the same time

def task():
    with semaphore:
        # access to resource
        pass

This approach allows limiting parallelism and avoiding resource overload.