How can you implement a thread pool in Python?

A thread pool in Python can be implemented using the concurrent.futures.ThreadPoolExecutor class, which simplifies the process of creating and managing a pool of threads to execute tasks concurrently. This approach is more efficient than manually creating and managing threads, especially when dealing with a large number of tasks.

from concurrent.futures import ThreadPoolExecutor

def task(n):
    return f"Task {n} completed"

# Create a thread pool with 5 threads
with ThreadPoolExecutor(max_workers=5) as executor:
    results = executor.map(task, range(10))

for result in results:
    print(result)

In this example, a thread pool with 5 threads is created using ThreadPoolExecutor. The map() method is used to execute the task function concurrently across multiple threads.

Thread pools are useful for managing a large number of short-lived tasks efficiently, reducing the overhead associated with creating and destroying threads frequently.