在列表for循环中进行高效的Python多处理

import threading

def process_data(data):
    # 处理数据的逻辑
    pass

def main():
    data_list = [...]  # 待处理的数据列表

    # 创建多个线程
    threads = []
    for data in data_list:
        thread = threading.Thread(target=process_data, args=(data,))
        thread.start()
        threads.append(thread)

    # 等待所有线程执行完毕
    for thread in threads:
        thread.join()

if __name__ == "__main__":
    main()

import multiprocessing

def process_data(data):
    # 处理数据的逻辑
    pass

def main():
    data_list = [...]  # 待处理的数据列表

    # 创建多个进程
    processes = []
    for data in data_list:
        process = multiprocessing.Process(target=process_data, args=(data,))
        process.start()
        processes.append(process)

    # 等待所有进程执行完毕
    for process in processes:
        process.join()

if __name__ == "__main__":
    main()