Python中一些代码优化的tips

1.拼接字符串的要点

  使用“+”进行拼接字符串,每拼接一次,都会生成新的字符串的对象,不推荐使用“+”拼接字符串

  使用join函数,配合列表使用效果更好

import time

time_01 = time.time()  # 起始时刻
a = ""
for i in range(10000000):
    a += "nxr"
time_02 = time.time()  # 结束时刻
print("总用时:"+str(time_02-time_01))


time_03 = time.time()  # 起始时刻
b = [] 
for i in range(10000000):
  b.append(
"nxr")
"".join(b)
time_04
= time.time() # 结束时刻
print("总用时:"+str(time_04-time_03))

 2.循环代码优化

import time
"""
循环优化
1.尽量减少内层循环的计算,尽量往外提
2.局部变量查询比较快,尽量使用局部变量
"""
start = time.time()
for i in range(1000):
    result = []
    for m in range(10000):
        result.append(i*1000+m*100)
end = time.time()
print("耗时:{0}".format((end-start)))

start = time.time()
for i in range(1000):
    result = []
    c = i*1000    # 将计算式子从循环提出来
    for m in range(10000):
        result.append(c+m*100)
end = time.time()
print("耗时:{0}".format((end-start)))

# 耗时:3.3758254051208496
# 耗时:2.453188896179199

3.对列表进行插入,删除操作时,尽量在列表队尾进行操作,否则会进行数组的拷贝,效率低下。

 4.zip(),并行迭代

a = [1,2,3]
b = [4,5,6]
c = [7,8,9]

for i,j,k in zip(a,b,c):
    print("{0}-{1}-{2}".format(i,j,k))
原文地址:https://www.cnblogs.com/nxrs/p/10961269.html