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) - 1

while low <= high:
mid = (low + high) // 2
if arr[mid] == target:
return mid
elif arr[mid] < target:
low = mid + 1
else:
high = mid - 1

return -1

# 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 threading

def 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()