Tarun SharmaExplanation:
A lambda function in Python is a small anonymous function defined using the lambda keyword. It can take any number of arguments but can only have one expression. The expression is evaluated and returned.
Syntax:
lambda arguments: expression
Example:
# A lambda function that adds 10 to the input
add_ten = lambda x: x + 10
print(add_ten(5)) # Output: 15
Use Cases:
Short functions that are used once or a few times.
Used with higher-order functions like map(), filter(), and reduce().
Common Tricks:
- Simplifying small functions:
def add(a, b):
return a + b
# Can be simplified as:
add = lambda a, b: a + b
- Using with map():
numbers = [1, 2, 3, 4, 5]
squares = list(map(lambda x: x**2, numbers))
# squares will be [1, 4, 9, 16, 25]
- Using with filter():
numbers = [1, 2, 3, 4, 5]
even_numbers = list(filter(lambda x: x % 2 == 0, numbers))
# even_numbers will be [2, 4]
- Using with reduce() from functools:
from functools import reduce
numbers = [1, 2, 3, 4, 5]
product = reduce(lambda x, y: x * y, numbers)
# product will be 120
