In Python, lambda functions are anonymous functions. This means that they do not have a name, and they are defined using the
lambda keyword. Lambda functions are often used as arguments to other functions, such as the
map() and filter() functions.
How are lambda functions used?
Lambda functions can be used in a variety of ways. Here are a few examples:
As arguments to other functions: Lambda functions can be used as arguments to other functions, such as the
map() and filter() functions. For example, the following code will use a lambda function to double the elements in a list:
As inline functions: Lambda functions can be used as inline functions. This means that they can be defined and used in a single line of code. For example, the following code will define a lambda function that squares the elements in a list:
Python
square_list = list(map(lambda x: x ** 2, list1))
print(square_list)
The output of the code is:
Code snippet
[1, 4, 9, 16, 25]
As generators: Lambda functions can be used as generators. This means that they can be used to generate a sequence of values. For example, the following code will define a lambda function that generates a sequence of even numbers:
Python
even_numbers = (x for x in range(10) if x % 2 == 0)
for number in even_numbers:
print(number)
The output of the code is:
Code snippet
0
2
4
6
8
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What are lambda functions?
In Python, lambda functions are anonymous functions. This means that they do not have a name, and they are defined using the
lambdakeyword. Lambda functions are often used as arguments to other functions, such as themap()andfilter()functions.How are lambda functions used?
Lambda functions can be used in a variety of ways. Here are a few examples:
map()andfilter()functions. For example, the following code will use a lambda function to double the elements in a list:Python
The output of the code is:
Code snippet
Python
The output of the code is:
Code snippet
Python
The output of the code is:
Code snippet