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"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
Lamda is just one line anonymous function
Useful when writing function inside function
it can take multiple arguments but computes only one expression
Syntax:
x = lambda arguments : expressionlambda python
nums = [1, 2, 3, 4, 5]
print(list(map(lambda n:n*n, nums)))
#lambda n : n in this case is the passed valuelambda function in python
# This is a normal function:
def Function(Parameter):
return Parameter
# And this is a lambda function
Function = lambda Parameter : Parameter
"""
They are both equivalent and do the exact same job (which is
to take in a parameter and output it, in this scenario) the reason
lambda functions exist is to make code shorter and readable since
a lambda function only takes up one line.
Lambda functions are mostly used for simple things
Whereas defining functions are used for complex things.
You do not have to use lambda functions, it's all about preference.
An example of where it would be used is in basic arithmetics, im only
going to show addition, I think you can work out the rest:
"""
Add = lambda a, b: a + b
print(Add(3,4))
# Output:
# >>> 7
# Its equivalent:
def Add(a ,b):
return a + b
print(Add(3,4))
# Output:
# >>> 7lambda 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")))Copyright © 2021 Codeinu
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