PYTHON

lambda python

even = lambda a: True if a % 2 == 0 else False
even(6) ## True
even(9) ## False

lambda python

add = lambda a, b : a + b
add(3,6) ## 9

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

# 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

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

python lambda

# lambda functions creates small anonymous function
# create an add functions with that takes two numbers and returns the sum
add = lambda num1, num2: num1 + num2
print(add(9, 5))
# output 14

# double the numbers in a list
print(list(map(lambda num1: num1 * 2, [1, 2, 3, 4])))
# output [2, 4, 6, 8]

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 en python

doblar = lambda num: num*2

doblar(2)

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 functions python

remainder = lambda num: num % 2

print(remainder(5))

lambda in python

# plz suscribe to my youtube channel -->
# https://www.youtube.com/channel/UC-sfqidn2fKZslHWnm5qe-A

#multiplication using python
multiplication = lambda num, num2 : num * num2
print(multiplication(20,7))

function and lambda in python

# Normal function, usually called function with name
def add(a,b):
  return a + b 

print(add(1,2)) # 3

# Lambda function, usually called anonymous function (without name)
add2 = lambda a,b: a+b
print(add2(1,2)) # 3

'''
Note:
If you want to use lambda with return value make a variable before : then
lambda's expression
= lambda x, y: x * y 

If you want to use lambda with no return, you don't need to write 
variable
= lambda: print("My name Lux") 

The way lambda program work is same as a function but without name. 
'''

python lambda

raise_to_power = lambda x, y: x ** y

raise_to_power(2, 3)

how to declare a lambda in python

func = lambda x,y,z: x*y*z
print(func(1, 2, 3))#that will print 6

programação funcional python - lambda

transformar = lambda x, y: x**y
transformar(3, 4) #isto retorna 81

lambda expression python

#define a function inline
#(syntax) lambda parameter_list: expression     parameter_list is comma separated
#lambda implicitly returns its expression's value, thus equivalent to any simple fxn of form...
'''
def function_name(parameter_list)
    return expression
'''

numbers = [10, 3, 7, 1, 9, 4, 2, 8, 5, 6]
print(list(filter(lambda x: x%2 != 0, numbers))) #here filter() takes a fxn as 1st argument
# [3, 7, 1, 9, 5]

Lambda Functions

# The lambda keyword in Python provides a
# shortcut for declaring small and 
# anonymous functions:

add = lambda x, y: x + y
print(add(5, 3))

# Output
# 8

# You could declare the same add() 
# function with the def keyword:

def add(x, y):
	return x + y
print(add(5, 3))

# Output
# 8

# So what's the big fuss about?
# Lambdas are *function expressions*:

print((lambda x, y: x + y)(5, 3))

# Output
# 8


# • Lambda functions are single-expression 
# functions that are not necessarily bound
# to a name (they can be anonymous).

# • Lambda functions can't use regular 
# Python statements and always include an
# implicit `return` statement.

lambda functions python

lambda argument(s): expression

lambda python

# Lambda is what is known as an anonymous function. Basically it's like a function but a variable

# This is the "python" way of writing a lambda function

multiply = lambda x,y: x * y 
# The x,y are the arguments used for the function and "x * y" is the expression

multiply(10, 10) #100

# Lambda are useful sometimes for a number of python projects.

lambda python

F = lambda i: 5**i
F(7)

#output
#78125

lambda python

>>> def make_incrementor(n):
...     return lambda x: x + n
...
>>> f = make_incrementor(42)
>>> f(0)
42
>>> f(1)
43

python lambda

# Python code to illustrate cube of a number
# showing difference between def() and lambda().
def cube(y):
    return y*y*y
 
lambda_cube = lambda y: y*y*y
 
# using the normally
# defined function
print(cube(5))
 
# using the lambda function
print(lambda_cube(5))

why are lambda functions useful

map(lambda x: x * 2, [1,2,3,4])

why are lambda functions useful

[(1,2), (3,1), (5,10), (11,-3)].sort(lambda x: x[1])

lambda python

>>> lambda argumento1, argumento2, argumentoN : expresion usando argumentos