Example 1: lambda python
add = lambda a, b : a + b
add(3,6)
Example 2: 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
Example 3: python lambda
multiply = lambda x,y: x * y
multiply(21, 2)
def myfunc(n):
return lambda a : a * n
mydoubler = myfunc(2)
print(mydoubler(11))
Example 4: 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.
lambda arguments: expression
double = lambda x: x * 2
print(double(5))
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)
def make_incrementor(n):
return lambda x: x + n
f = make_incrementor(12)
print(f(3))
print(f(13))
pairs = [(1, "one"), (2, "two"), (3, "three"), (4, "four")]
pairs.sort(key=lambda x: x[1])
print(pairs)
Example 5: 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.
lambda arguments: expression
double = lambda x: x * 2
print(double(5))
Example 6: lambda in python
>>> full_name = lambda first, last: f'Full name: {first.title()} {last.title()}'
>>> full_name('guido', 'van rossum')
'Full name: Guido Van Rossum'