def calc(x,y):
    return x*y
print(calc(2,3))
 
# 换成匿名函数
 
calc = lambda x,y:x*y
print(calc(2,3))

res = map(lambda x:x**2,[1,2,3,4,5])
print(list(res))
# 结果：
# [1, 4, 9, 16, 25]
for i in res:
    print(i)
# 结果：
# 1
# 4
# 9
# 16
# 25

> def add(x,y):           #定义一个加法函数
    return x+y              #返回两个参数的相加的值
 
> z=f(3,4)               
> print(z)
7                                     #调用加法函数返回7
> lambda x,y:x+y
<function <lambda> at 0x0000020F385B86A8>   
#可以看到lambda是一个   function（函数）类对象
> f=lambda x,y:x+y          #功能实现的跟add(x,y)一样       
> f(1,2)
3
> f(3,4)
7
> def multiply(x,y):
    return x*y
 
> multiply(3,4)
12
> multiply=lambda x,y:x*y
> multiply(3,4)
12
> def subtract(x,y):
    return x-y
 
> subtract(3,4)
-1
> subtract=lambda x,y:x-y
> subtract(3,4)
-1
 
> def divide(x,y):
    return x/y
 
> divide(4,2)
2.0
> divide=lambda x,y:x/y
> divide(4,2)
2.0
 
#上面的乘法函数，减法函数，除法函数都可以用lambda表达式来代替，更方便

# 2.lambda 的应用
# ---CASE 1
fs = map(lambda i:(lambda j: i*j), range(6))
print([f(2) for f in fs])
 
#---CASE 2
fs = [lambda j:i*j for i in range(6)]
print([f(2) for f in fs])
 
#---CASE 3
fs = []
for i in range(6):
    fs.append(lambda j:i*j)
    if i==3:
        break
print([f(2) for f in fs])
 
#---CASE 4
fs = [(lambda i:lambda j:i*j)(i) for i in range(6)]
print([f(2) for f in fs])
 
# 结果：
# [0, 2, 4, 6, 8, 10]
# [10, 10, 10, 10, 10, 10]
# [6, 6, 6, 6]
# [0, 2, 4, 6, 8, 10]

map(f , a)

map( lambda x : x + 1, [1, 2, 3] )

def function(a,b): 
     print(a,b) 
 apply(function,('good','better')) 
 apply(function,(2,3+6)) 
 apply(function,('cai','quan')) 
 apply(function,('cai',),{'b':'caiquan'}) 
 apply(function,(),{'a':'caiquan','b':'Tom'}) 

('good', 'better')
(2, 9)
('cai', 'quan')
('cai', 'caiquan')
('caiquan', 'Tom')

if 条件成立:
    val = 1
else:
    val = 2

val = 1 if 条件成立 else 2