Lambda functions in Python are small anonymous functions defined using the keyword `lambda`. Unlike normal functions created using the `def` keyword, lambda functions do not have a name and are generally used for short, simple operations that can be expressed in a single expression. They are often used where a function is required temporarily, such as in higher-order functions like `map()`, `filter()`, and `sorted()`. Lambda functions are also called anonymous functions because they are not bound to an identifier unless explicitly assigned to a variable. The general syntax of a lambda function is: `lambda arguments: expression` A lambda function can take any number of arguments, but it can have only one expression. The expression is evaluated and returned automatically. Unlike regular functions, lambda functions do not use the `return` statement. The result of the expression is implicitly returned. Due to this limitation of having only one expression, lambda functions are typically used for concise operations rather than complex logic involving multiple statements or conditions. Lambda functions are particularly useful in functional programming paradigms where functions are treated as first-class objects. In Python, functions can be passed as arguments to other functions, returned as values from other functions, and assigned to variables. Lambda functions enhance code readability and reduce the need for formally defining simple functions that are used only once. For example, if we want to calculate the average of two numbers, the mathematical formula for average is: Average = (Number1 + Number2) / 2 Using a lambda function, we can write a simple one-line function to compute the average of two numbers. The lambda function to print the average of two numbers can be written as follows: ```python # Lambda function to calculate average of two numbers average = lambda a, b: (a + b) / 2 # Taking