python anonymous function lambda

#lambda expression form: lambda arguments1, arguments2,...argumentsN:expression using arguments

 f= lambda x,y,z:x+y+z
 print (f( 2 , 3 , 4 ))      #9
 #default arguments are also Can be used in lambda parameters as in def
 x=( lambda a= 'fee' ,b= 'fie' ,c= 'foe' :a+b+c)
 print (x())       # feefiefoe
 def knights():


    title='sir'
    action=(lambda x:title+' '+x)
    return action

a=knights()
print (a( 'name' ))      #sir name
 #lambda acts as a function shorthand, allowing the definition of a function to be embedded in the code used. When a small piece of execution code is required to be written into the def statement, it cannot be written in the syntax. where
 #lambda expressions are most useful as a shorthand for def
 l=[ lambda x:x** 2 , lambda x:x** 3 , lambda x:x** 4 ]
 for f in l:
     print (f( 2 ))      #4 8 16
 key= 'got'
 result={ 'already' :( lambda : 2 + 2 ), 'got' :( lambda :

2*4),'one':(lambda :2**6)}[key]()
print(result)    #8

lower=(lambda x,y:x if x<y else y)
print(lower('bb','aa'))     #aa
print(lower('aa','bb'))     #aa
import sys

showall=lambda x:list(map(sys.stdout.write,x))
showall(['a','b','c'])    #abc

showall1=lambda x:[sys.stdout.write(i) for i in x]
showall1([ 'a' , 'b' , 'c' ])      #abc #Nested
 lambda expressions and scopes
 #lambda expressions can get variable names in any upper lambda
 def action(x):
     return ( lambda y : x+y)


l=action( 1 )
 print (l( 2 ))     #3

 action1=( lambda x: lambda y:x+y)
a=action1( 11 )
 print (a( 22 ))     #33
 #Commonly used for callback handler
 def onPress(s):
     print (s)


import sys
from tkinter import Button, mainloop
#x=Button(text='Press me', command=lambda :sys.stdout.write('spam\n'))
x=Button(text='Press me', command=lambda : onPress('aaaaaa'))
x.pack()
mainloop ()