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)) #22
lambda 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 : expression
lambda 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:
# >>> 7
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))
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