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Lambda Functions

Lambda Functions: Anonymous Functions

What is a Lambda Function?

A lambda function is a small, anonymous function defined using the lambda keyword. Unlike regular functions defined with the def keyword, lambda functions don’t have a name. They are typically used for short, simple operations.

Syntax

Python

lambda arguments: expression

Example

Python

add = lambda x, y: x + y
result = add(3, 4)
print(result)  # Output: 7

In this example:

Key Points

Common Use Cases

Limitations

By understanding lambda functions, you can write more concise and expressive code, especially when working with higher-order functions.

Why use lambda functions?

Lambda functions are often used for concise expression, especially when working with higher-order functions like map, filter, and reduce.

Can I assign a lambda function to a variable?

Yes, you can assign a lambda function to a variable and use it like a regular function.

What is the syntax of a lambda function?

lambda arguments: expression

Can a lambda function have multiple expressions?

No, lambda functions are limited to a single expression.

Can a lambda function have no arguments?

Yes, you can define a lambda function without arguments.

Where are lambda functions commonly used?

They are often used with functions like map, filter, and sorted for concise data manipulation.

Can I use lambda functions for complex logic?

While possible, it’s generally recommended to use regular functions for complex logic. Lambda functions are better suited for short, simple operations.

Are there performance differences between lambda functions and regular functions?

In most cases, there’s no significant performance difference. However, for very large datasets or complex operations, regular functions might be slightly faster.

Can I use lambda functions for recursive operations?

While technically possible, it’s generally not recommended due to readability and potential performance implications.

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