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Lambdas
Python Lambda Functions are anonymous function means that the function is without a name. As we already know that the def keyword is used to define a normal function in Python. Similarly, the lambda keyword is used to define an anonymous function in Python.
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| Characteristic | Description |
|---|---|
| Definition | A lambda function is a small anonymous function defined using the lambda keyword. |
| Syntax | lambda arguments: expression |
| Anonymous | Lambda functions do not have a name and are typically used for short, simple operations. |
| Single Expression | Lambda functions are limited to a single expression and return the result of that expression. |
| No Statements | Lambda functions cannot contain statements (e.g., if, for, while); they are intended for simple operations. |
| Usage | Commonly used in functions like map(), filter(), reduce(), and as a quick inline function for sorting, callbacks, etc. |
| Example | lambda x, y: x + y creates a function that returns the sum of x and y. |
| Scope | Lambda functions have the same scoping rules as regular functions, meaning they can access variables from their enclosing scope. |
| Return Type | Lambda functions automatically return the value of their expression without needing an explicit return statement. |
| Function Object | Despite being anonymous, lambda functions are function objects and can be assigned to variables and called like normal functions. |
| Limitations | Due to their simplicity, lambda functions are less readable and less flexible compared to regular functions. They are best used for short, throwaway operations. |
| Performance | Similar to regular functions in terms of performance, but they should be used judiciously to keep code readable. |
| Integration | Lambda functions integrate well with functional programming constructs and are often used where small functions are required without the overhead of full function definitions. |