lambda and function in python
Table = lambda Table_of,Multiply_by: (Table_of*Multiply_by)
print("3 * 9 = ",Table(3,9))
def Concatinate(first_name, last_name):
return first_name + " " + last_name
print("Concatinate using functions your name is:- {}".format(Concatinate("Harit","rai")))python lambda
multiply = lambda x,y: x * y
multiply(21, 2) #42
#_____________
def myfunc(n):
return lambda a : a * n
mydoubler = myfunc(2)
print(mydoubler(11)) #22lambda function in python
In Python, an anonymous function is a function that is defined without a name.
While normal functions are defined using the def keyword in Python,
anonymous functions are defined using the lambda keyword.
Hence, anonymous functions are also called lambda functions.
# syntax of Lambda function
lambda arguments: expression
# Program to show the use of lambda functions
double = lambda x: x * 2
print(double(5))
# examples
my_list = range(101)
print(list(map(lambda item: item**2, my_list)))
print(list(filter(lambda item: item % 2 == 1, my_list)))
print(list(map(lambda item: item**2, my_list)))
a = [(0, 2), (4, 3), (9, 9), (10, -1)]
a.sort(key=lambda x: x[1])
print(a)
# docs lambda function
# the lambda function can be used as a function inside a function like the following
def make_incrementor(n):
return lambda x: x + n
f = make_incrementor(12)
print(f(3))
print(f(13))
# you can use lambda as a key for sort or anything else
pairs = [(1, "one"), (2, "two"), (3, "three"), (4, "four")]
# what if you wanna sort the list by the second argument
pairs.sort(key=lambda x: x[1])
print(pairs)lambda in python
#lambda can be also used for adding string
>>> full_name = lambda first, last: f'Full name: {first.title()} {last.title()}'
>>> full_name('guido', 'van rossum')
'Full name: Guido Van Rossum'lambda python
>>> def make_incrementor(n):
... return lambda x: x + n
...
>>> f = make_incrementor(42)
>>> f(0)
42
>>> f(1)
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