En Python, una función anónima significa que una función no tiene nombre. Como ya sabemos, la palabra clave def se usa para definir las funciones normales y la palabra clave lambda se usa para crear funciones anónimas.
Sintaxis:
Python3
# Python program to demonstrate # lambda functions string = 'GeeksforGeeks' # lambda returns a function object print(lambda string: string)
Python3
# Python program to demonstrate # lambda functions x = "GeeksforGeeks" # lambda gets pass to print (lambda x: print(x))(x)
Python3
# Python program to illustrate cube of a number # showing difference between def() and lambda(). def cube(y): return y*y*y def g(x): return x*x*x print(g(7)) print(cube(5))
Python3
# Python program to demonstrate
# lambda functions
def power(n):
return lambda a: a ** n
# base = lambda a : a**2 get
# returned to base
base = power(2)
print("Now power is set to 2")
# when calling base it gets
# executed with already set with 2
print("8 powerof 2 = ", base(8))
# base = lambda a : a**5 get
# returned to base
base = power(5)
print("Now power is set to 5")
# when calling base it gets executed
# with already set with newly 2
print("8 powerof 5 = ", base(8))
Python3
# Python program to demonstrate # lambda functions inside map() # and filter() a = [100, 2, 8, 60, 5, 4, 3, 31, 10, 11] # in filter either we use assignment or # conditional operator, the pass actual # parameter will get return filtered = filter (lambda x: x % 2 == 0, a) print(list(filtered)) # in map either we use assignment or # conditional operator, the result of # the value will get returned mapped = map (lambda x: x % 2 == 0, a) print(list(mapped))