lambda condition python
f = lambda parameter : exp1 if cond else exp2
# example
f = lambda x: "even" if x%2==0 else "odd"
lambda condition python
f = lambda parameter : exp1 if cond else exp2
# example
f = lambda x: "even" if x%2==0 else "odd"
lambda python
nums = [1, 2, 3, 4, 5]
print(list(map(lambda n:n*n, nums)))
#lambda n : n in this case is the passed value
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")))
lambda 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))
lambda functions python
lambda argument(s): expression
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