g = gcd(self.p, self.q)
return '%s/%s' % (self.p / g, self.q / g)这是什么意思
return '%s/%s' % (self.p / g, self.q / g)这是什么意思
2018-03-18
import math
def is_sqr(x):
return math.sqrt(x) == int(math.sqrt(x))
print filter(is_sqr, range(1,101))
def is_sqr(x):
return math.sqrt(x) == int(math.sqrt(x))
print filter(is_sqr, range(1,101))
2018-03-18
def __str__(self):
max1 = self.q if(self.q >= self.p) else self.p
for i in range(1,max1):
if(self.p/i == self.p*1.0/i and self.q/i == self.q*1.0/i):
self.p = self.p/i
self.q = self.q/i
return "%s/%s"%(self.p,self.q)
max1 = self.q if(self.q >= self.p) else self.p
for i in range(1,max1):
if(self.p/i == self.p*1.0/i and self.q/i == self.q*1.0/i):
self.p = self.p/i
self.q = self.q/i
return "%s/%s"%(self.p,self.q)
2018-03-18
from math import *
def add(x, y, f):
return f(x) + f(y)
print(add(25, 9, sqrt))
def add(x, y, f):
return f(x) + f(y)
print(add(25, 9, sqrt))
2018-03-18
题意是想说只要一个类存在read()方法,这json.load(类的实例)将自动调用实例对应的read()方法。另一种方式是json.loads()函数可以将一个json字符串转出成python对应类型
2018-03-18
class Students(object):
def read(self):
return'["Tim", "Bob", "Alice"]'
s = Students()
print json.load(s)
class Students2(object):
def __init__(self):
self._content = '["Tim", "Bob", "Alice"]'
s = Students2()
print json.loads(s._content)
两种方式都可以
def read(self):
return'["Tim", "Bob", "Alice"]'
s = Students()
print json.load(s)
class Students2(object):
def __init__(self):
self._content = '["Tim", "Bob", "Alice"]'
s = Students2()
print json.loads(s._content)
两种方式都可以
2018-03-18
解释一遍代码吧
def __init__(self,name,gender,birth,**kw): #这里的**kw表示可以接受任意数量的关键字参数
.............................
for k , v in kw.iteritems(): #这里提取输入的参数,K,V分别是键值对的键和值,即key和value
setattr(self,k,v) #这里即是把k设为 self对象的属性,v就是k属性的值
def __init__(self,name,gender,birth,**kw): #这里的**kw表示可以接受任意数量的关键字参数
.............................
for k , v in kw.iteritems(): #这里提取输入的参数,K,V分别是键值对的键和值,即key和value
setattr(self,k,v) #这里即是把k设为 self对象的属性,v就是k属性的值
2018-03-16
Python装饰器详解,讲得形象,很容易理解,推荐给大家:
http://blog.csdn.net/xiangxianghehe/article/details/77170585###;
http://python.jobbole.com/82344/
http://blog.csdn.net/xiangxianghehe/article/details/77170585###;
http://python.jobbole.com/82344/
2018-03-16