需求：
随机生成6位的大写字母：
方法一：
#!/usr/bin/env python
# -*- coding:utf-8 -*-
import random
li = []
for i in range(6):
temp = random.randrange(65,91)
c = chr(temp)
li.append(c)
result = "".join(li)
print(result)
结果：会随机生成6个字母
aaarticlea/png;base64,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" alt="" />
功能实现了，但是感觉有点low，例如：生成的字符比较单一，只能生成字母。我在想能不能让6个字符中出现两个数字呢？好，开始搞吧。
方法二：
#!/usr/bin/env python
# -*- coding:utf-8 -*-
import random
li = []
for i in range(6):
if i == 2 or i == 4:
num = random.randrange(0,10)
li.append(str(num)) #将数字转换为字符串，因为.join()方法无法处理数字类型，只能出现字符类型的数据
else:
temp = random.randrange(65,91)
c = chr(temp)
li.append(c)
result = "".join(li)
print(result)
结果：
DM5T9B
方法二满足了需求，6个字符中包括了2个数字。但是 大家有没有发现两个数字的位置比较固定，这也不符合正常人的逻辑啊。要求随机的啊，随机，随机。 好，知道了要求数字和字母出现的次数和位置随机。开始搞吧。
方法三：
#!/usr/bin/env python
# -*- coding:utf-8 -*-
import random
li = []
for i in range(6):
r = random.randrange(0,5)
if r == 2 or r == 4:
num = random.randrange(0,10)
li.append(str(num))
else:
temp = random.randrange(65,91)
c = chr(temp)
li.append(c)
result = "".join(li)
print(result)
结果：
384M4J
方法三：方法二的优化
#!/usr/bin/env python
# -*- coding:utf-8 -*-
import random
li = []
for i in range(6):
r = random.randrange(0,5)
if i == r:
num = random.randrange(0,10)
li.append(str(num))
else:
temp = random.randrange(65,91)
c = chr(temp)
li.append(c)
result = "".join(li)
print(result)
结果：
N7WIHL
好了，已经实现了需求。
总结：
（1）random 是随机生成数字。
（2）i = random.randrange(0,5) 表示生成0-4的随机数，记住不包括5哦。 取值范围为： 1=< i < 5
（3）"".join(li) 表示把列表li 的值生成一个字符串中间不用任何符号分隔，所以用了 ""
例如：
li = ['A','B','C','D','E']
result = "".join(li)
print(result)
结果：这里使用了 "".join()
ABCDE
我们用 “_” 下划线 来分隔。使用"_".join()
li = ['A','B','C','D','E']
result = "_".join(li)
print(result)
结果：
A_B_C_D_E
（4）join() 只能处理字符，不能处理数字，不信？ 好，那么我们试试吧。
#!/usr/bin/env python
# -*- coding:utf-8 -*-
li = [1,2,3,4,5]
result = "_".join(li)
print(result)
结果：
aaarticlea/png;base64,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" alt="" />
所以我们代码中使用了：str()
num = random.randrange(0,10)
li.append(str(num)) #将数字转换为字符串，因为.join()方法无法处理数字类型，只能出现字符类型的数据
（5）chr 和 ord
chr 将数字转换为ASII码中对应的字母
ord 将字母转换为ASII码中对应的数字
r = chr(65)
print(r) n = ord("A")
print(n)
结果：
A
65