Lambda Function
Lambda functions, also known as anonymous functions, are small, single-expression functions defined using the lambda keyword. They are used primarily for short, throwaway functions that are not intended to be reused elsewhere in the code.
Syntax of Lambda Functions
The basic syntax of a lambda function is:
lambda arguments: expression
- lambda is the keyword used to define the lambda function.
- arguments is a comma-separated list of arguments.
- expression is a single expression evaluated and returned.
Example of a Simple Lambda Function
A simple example of a lambda function that adds two numbers:
add = lambda x, y: x + y
print(add(2, 3)) # Output: 5
In this example, lambda x, y: x + y creates a function that takes two arguments, x and y, and returns their sum.
Lambda Functions vs Regular Functions
Lambda functions are different from regular functions (defined using def) in the following ways:
Syntax:
- Lambda functions are defined using the lambda keyword and consist of a single expression.
- Regular functions are defined using the def keyword and can contain multiple statements.
Name:
- Lambda functions are anonymous, meaning they do not have a name unless assigned to a variable.
- Regular functions have a name.
Scope:
- Lambda functions are often used in places where functions are required temporarily, such as within higher-order functions.
- Regular functions are generally used when more complex operations are needed, and they are intended to be reused.
Advantages and Disadvantages of Lambda Functions
Advantages:
- Conciseness: Lambda functions provide a compact way to define simple functions.
- Readability: For small functions, lambda functions can make the code more readable by reducing the need for function definitions.
Disadvantages:
- Limited functionality: Lambda functions are limited to a single expression and cannot contain multiple statements.
- Readability: Overuse or complex lambda functions can make the code harder to read and understand.