Python lambda functions are small anonymous functions that can be defined inline within a larger expression. They are a powerful tool in a Python programmer's toolkit, allowing for concise and readable code.
Lambda functions are particularly useful when you need a small, one-time use function. They can be used to create small, reusable functions, and can even be used as higher-order functions, meaning they can be passed as arguments to other functions or returned as values from functions.
Some key use cases for lambda functions in Python include data processing, event handling, and as arguments to higher-order functions such as `map()`, `filter()`, and `reduce()`. By using lambda functions, you can write more concise and expressive code, making your programs easier to understand and maintain.
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