[networked]

I have found another way in the documentation for `concurrent.futures`. You can use `Executor.map` (https://docs.python.org/3/library/concurrent.futures.html#co...). It eliminates the need to wait on the futures explicitly.

  def main():
      with ThreadPoolExecutor(max_workers=len(URLs)) as executor:
          for url, title in zip(URLs, executor.map(fetch_url, URLs)):
              print(f"URL: {url}\nTitle: {title}")

The default value of `max_workers` since Python 3.8 has been

  min(32, os.cpu_count() + 4)

You should probably avoid

  max_workers=len(items_to_process)

It will not save memory or CPU time when you have few items (workers are created as necessary) and may waste memory when you have many.