提升 Python 程序效率：优化技巧一网打尽

# 模块化开发示例def calculate_average(nums):return sum(nums) / len(nums)def print_average(nums):print(calculate_average(nums))# 调用模块nums = [1, 2, 3, 4, 5]print_average(nums)

# 二分查找示例def binary_search(arr, target):low, high = 0, len(arr) - 1while low <p><strong>三、数据结构优化</strong></p>

# 预分配内存示例import array# 为存储 1000 个整数预分配内存arr = array.array("i", [0] * 1000)

# 多线程示例import threadingdef task(a, b):return a * b# 创建并启动线程thread1 = threading.Thread(target=task, args=(1, 2))thread2 = threading.Thread(target=task, args=(3, 4))thread1.start()thread2.start()# 等待线程结束并获取结果result1 = thread1.join()result2 = thread2.join()