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Python Lambda Functions

In Python, lambda functions are anonymous, one-line functions defined using the syntax lambda parameters: expression. They are useful for short operations, passing functions as arguments, or when you want a concise function without using def.

Basic Syntax

lambda arguments: expression

Explanation:

• lambda: Keyword to define an anonymous function.
• arguments: One or more parameters passed to the function.
• expression: The operation performed using the arguments, whose result is returned.

Example 1: Sum of Two Numbers

add = lambda x, y: x + y
print(add(5, 3))  # Output: 8
  

Example 2: Filtering Even Numbers from a List

numbers = [1, 2, 3, 4, 5, 6]
even_numbers = list(filter(lambda x: x % 2 == 0, numbers))
print(even_numbers)  # Output: [2, 4, 6]
  

Example 3: Squaring Elements of a List

squared_numbers = list(map(lambda x: x ** 2, numbers))
print(squared_numbers)  # Output: [1, 4, 9, 16, 25, 36]
  

Example 4: Immediate Execution of Lambda

print((lambda x: x * 2)(10))  # Output: 20
  

Why Use Lambda Functions

• Conciseness: Define small functions in a single line.
• Anonymous: Functions without a name for clean code, especially as arguments to other functions.
• Convenience: Works seamlessly with map(), filter(), sorted(), and other higher-order functions.

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Use lambda functions in Python for concise, readable, and efficient code when you need small, single-expression functions.