Difference between List comprehension and Lambda in Python

List comprehension: List comprehension is an elegant way to define and create a list in python. We can create lists just like mathematical statements and in one line only. The syntax of list comprehension is easier to grasp. A list comprehension generally consists of these parts :

• Output expression,
• Input sequence,
• A variable representing a member of the input sequence and
• An optional predicate part.

List = [expression(i) for i in another_list if filter(i)]

Example :

lst  =  [x ** 2  for x in range (1, 11)   if  x % 2 == 1]
print(lst)

Output:

[1, 9, 25, 49, 81]

In the above example,

• x ** 2 is the expression.
• range (1, 11) is input sequence or another list.
• x is the variable.
• if x % 2 == 1 is predicate part.

Lambda: In Python, anonymous function means that a function is without a name. As we already know the def keyword is used to define the normal functions and the lambda keyword is used to create anonymous functions. It has the following syntax:

Syntax:

lambda arguments : expression

Example:

lst = list(map(lambda x: x**2, range(1, 5)))
print(lst)

Output:

[1, 4, 9, 16]

The difference between Lambdas and List Comprehension

List Comprehension is used to create lists, Lambdas are functions that can process like other functions and thus return values or list.
Example :

# list from range 0 to 10
list_ = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
print(list_)

# lambda function
lambda_list = list(map(lambda x: x * 2, list_))

# Map basically iterates every element
# in the list_ and returns the lambda
# function result
print(lambda_list)

# list comprehension
list_comp = [x * 2 for x in list_]
print(list_comp)

Output:

[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
[0, 2, 4, 6, 8, 10, 12, 14, 16, 18]
[0, 2, 4, 6, 8, 10, 12, 14, 16, 18]