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Python初学者的17个技巧

时间:2015-05-14 08:39:11      阅读:180      评论:0      收藏:0      [点我收藏+]

标签:python   初学者   

交换变量

x = 6
y = 5

x, y = y, x

print x
>>> 5
print y
>>> 6

if 语句在行内

print "Hello" if True else "World"
>>> Hello

连接

下面的最后一种方式在绑定两个不同类型的对象时显得很酷。

nfc = ["Packers", "49ers"]
afc = ["Ravens", "Patriots"]
print nfc + afc
>>> [‘Packers‘, ‘49ers‘, ‘Ravens‘, ‘Patriots‘]

print str(1) + " world"
>>> 1 world

print `1` + " world"
>>> 1 world

print 1, "world"
>>> 1 world
print nfc, 1
>>> [‘Packers‘, ‘49ers‘] 1

计算技巧

#向下取整
print 5.0//2
>>> 2
# 2的5次方
print 2**5
>> 32

注意浮点数的除法

print .3/.1
>>> 2.9999999999999996
print .3//.1
>>> 2.0

数值比较

x = 2
if 3 > x > 1:
   print x
>>> 2
if 1 < x > 0:
   print x
>>> 2

两个列表同时迭代

nfc = ["Packers", "49ers"]
afc = ["Ravens", "Patriots"]
for teama, teamb in zip(nfc, afc):
     print teama + " vs. " + teamb
>>> Packers vs. Ravens
>>> 49ers vs. Patriots

带索引的列表迭代

teams = ["Packers", "49ers", "Ravens", "Patriots"]
for index, team in enumerate(teams):
    print index, team
>>> 0 Packers
>>> 1 49ers
>>> 2 Ravens
>>> 3 Patriots

列表推导

已知一个列表,刷选出偶数列表方法:

numbers = [1,2,3,4,5,6]
even = []
for number in numbers:
    if number%2 == 0:
        even.append(number)

用下面的代替

numbers = [1,2,3,4,5,6]
even = [number for number in numbers if number%2 == 0]

字典推导

teams = ["Packers", "49ers", "Ravens", "Patriots"]
print {key: value for value, key in enumerate(teams)}
>>> {‘49ers‘: 1, ‘Ravens‘: 2, ‘Patriots‘: 3, ‘Packers‘: 0}

初始化列表的值

items = [0]*3
print items
>>> [0,0,0]

将列表转换成字符串

teams = ["Packers", "49ers", "Ravens", "Patriots"]
print ", ".join(teams)
>>> ‘Packers, 49ers, Ravens, Patriots‘

从字典中获取元素

不要用下列的方式

data = {‘user‘: 1, ‘name‘: ‘Max‘, ‘three‘: 4}
try:
   is_admin = data[‘admin‘]
except KeyError:
   is_admin = False

替换为

data = {‘user‘: 1, ‘name‘: ‘Max‘, ‘three‘: 4}
is_admin = data.get(‘admin‘, False)

获取子列表

x = [1,2,3,4,5,6]
#前3个
print x[:3]
>>> [1,2,3]
#中间4个
print x[1:5]
>>> [2,3,4,5]
#最后3个
print x[-3:]
>>> [4,5,6]
#奇数项
print x[::2]
>>> [1,3,5]

译文出处:Python初学者的17个技巧

Python初学者的17个技巧

标签:python   初学者   

原文地址:http://blog.csdn.net/u011043843/article/details/45715863

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