filter lambda function

Lambda function:
Sometimes we can define a function without any name, these kind of functions are called lambda function.

Why do we use lambda function?
Main purpose of lambda function is for one time activity (immediate activity)

Advantages of lambda function:
Code is reduced.

#largest of two numbers without using lambda
##def largest(a,b):
## if a greater than b:
## return a
## else:
## return b
##print(largest(5,9))

#largest of two nos using labmda function
s=lambda a,b:a if a greater than b else b
print(s(5,9))

lambda function internally return statement contains, so need to use return statement explicitly.

Generally lambda function are frequently used with filter() and map() function.

filter(): which filters the given sequence and based on some condition
def even(n):
if n%2==0:
return True
else:
return False
l=[5,8,20,23] #list created
a=list(filter(even,l))
print("even nos are",a)


Map() function:
For every element present in the given sequence, performed some specific operation on all the elements.
For this situation we go for map ()
l=[1,2,3,4,5] #list is created
def squar(n):
return n*2
a=list(map(squar,l))
print(a)
"""
[2, 4, 6, 8, 10]
"""
Syntax:
map(function,sequence)
##l=[1,2,3,4,5] #list is created
##def squar(n):
## return n*2
##a=list(map(squar,l))
##print(a)
##"""
##[2, 4, 6, 8, 10]
##"""
#same with lambda function
l=[1,2,3,4,5] #list is created
a=list(map(lambda n:n*2,l))
print(a)
#reduce() : reduces the sequences and stores into single element
from functools import *
l=[10,20,30] #list is created
a=reduce(lambda x,y:x+y,l)
print(a)
"""
60
"""

#reduce() : reduces the sequences and stores into single element
from functools import *
l=[10,20,30] #list is created
a=reduce(lambda x,y:x*y,l)
print(a)
"""
6000
"""
Assignments:
reduce()
function generators,
function decorators()