以下是一个使用 "concurrent.futures" 模块的 Python 线程池示例。它将创建两个线程以并行地执行两个任务,并在它们完成后关闭线程池。 ```python import concurrent.futures import time def task_one(): print("Starting task one...") time.sleep(2) print("Task one completed.") return "Result of task one" def task_two(): print("Starting task two...") time.sleep(4) print("Task two completed.") return "Result of task two" if __name__ == "__main__": with concurrent.futures.ThreadPoolExecutor(max_workers=2) as executor: future_one = executor.submit(task_one) future_two = executor.submit(task_two) results = [future_one.result(), future_two.result()] print("Results of two tasks: {}".format(results)) ``` 输出结果: ``` Starting task one... Starting task two... Task one completed. Task two completed. Results of two tasks: ['Result of task one', 'Result of task two'] ``` 该示例使用"concurrent.futures.ThreadPoolExecutor()"创建一个具有最大工作线程数为 2 的线程池,并向其提交两个任务。将每个任务的返回值保存在一个列表中,并在任务完成后打印出它们的结果。 注:在此示例中,我们使用了"if __name__ == "__main__":",这是一个约定,以确保Python解释器只会通过该代码运行一次,并且仅当文件作为主模块被运行时才运行代码。