It avoids the overhead of creating and destroying a new thread for every single file by reusing a "pool" of pre-instantiated worker threads.
You can run existing synchronous code (like the requests library) in parallel with minimal changes to your logic. Core Implementation: ThreadPoolExecutor python threadpool download
The modern standard for managing thread pools in Python is the concurrent.futures.ThreadPoolExecutor class. It provides a high-level interface for asynchronously executing callables. Basic Workflow It avoids the overhead of creating and destroying