Python 多线程与多进程：实战案例剖析，掌握并发编程的应用技巧

import threadingimport osfrom PIL import Image, ImageFilterdef process_image(image_path):image = Image.open(image_path)image = image.resize((256, 256))image = image.filter(ImageFilter.SHARPEN)image.save(image_path)def main():# 获取图像文件列表image_files = os.listdir("images")# 创建线程池pool = ThreadPool(4)# 将图像处理任务分配给线程池for image_file in image_files:pool.submit(process_image, ("images/" + image_file, ))# 等待所有线程完成任务pool.close()pool.join()if __name__ == "__main__":main()

import multiprocessingimport mathdef compute_pi(n):result = 0for i in range(n):result += 4 * (-1)**i / (2*i + 1)return resultdef main():# 分解科学计算任务n = 100000000num_processes = 4sub_tasks = [n // num_processes] * num_processes# 创建进程池pool = multiprocessing.Pool(num_processes)# 将子任务分配给进程池results = pool.map(compute_pi, sub_tasks)# 等待所有进程完成任务pool.close()pool.join()# 汇总子任务的结果pi = sum(results)print("π =", pi)if __name__ == "__main__":main()