What are lambda functions?0

 

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In Python, lambda functions are small, anonymous functions defined using the lambda keyword. Unlike regular functions created using def, lambda functions are single-expression functions that return the result of the expression.

✅ Syntax:

lambda arguments: expression

lambda – keyword to define the function

arguments – input parameters (can be multiple)

expression – a single expression (no statements)

🔍 Example:

add = lambda x, y: x + y

print(add(3, 5))  # Output: 8

Here, add is a lambda function that takes two arguments and returns their sum.

💡 Use Cases:

Lambda functions are commonly used with:

map() – apply a function to all items in a list.

nums = [1, 2, 3]

squared = list(map(lambda x: x**2, nums))  # [1, 4, 9]

filter() – filter items based on a condition.

even = list(filter(lambda x: x % 2 == 0, nums))  # [2]

sorted() – custom sorting logic.

data = [(1, 'a'), (3, 'b'), (2, 'c')]

sorted_data = sorted(data, key=lambda x: x[0])  # sort by first element

🛑 Limitations:

Only one expression allowed (no loops, conditions, or multiple lines).

Less readable for complex logic.

Not reusable like regular functions with def.

📌 Summary:

Lambda functions are anonymous, concise, and ideal for short operations.

Best used in situations where a simple function is needed temporarily.

Read More:

What are Type I and Type II errors?

How do you read a CSV file in Python?

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