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Lambda functions, also known as anonymous functions, are a feature in programming languages like Python that allow the creation of small, single-use functions without explicitly defining them using the conventional `def` keyword. The term "anonymous" refers to the fact that these functions do not require a name. Lambda functions are useful in scenarios where a small, simple function is needed temporarily, often as an argument to higher-order functions such as `map()`, `filter()`, and `reduce()`. The syntax of a lambda function is concise: `lambda arguments: expression`. Here, `arguments` represent the inputs the function accepts, and `expression` is the operation or calculation performed using these inputs. Lambda functions are limited to a single expression and cannot contain multiple statements or complex operations, which makes them ideal for simple tasks like arithmetic calculations or data transformations. In the context of digital forensics, lambda functions can _______ _________ ____ _______ _____ __________ ___ _________ ______ __________ _____.
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