Chapter 17: Advanced Python Programming – Advanced Lambda Functions
17.1 Introduction Lambda functions in Python, also known as anonymous functions , are a concise way to create small, unnamed function objects. These are particularly useful for short operations where defining a full function with def might be unnecessarily verbose. Lambda functions shine when used with functional programming tools like map() , filter() , reduce() , or in GUI or data processing applications. 17.2 Syntax of Lambda Functions General Syntax lambda arguments: expression Example add = lambda x, y: x + y print(add(2, 3)) # Output: 5 17.3 Comparison: lambda vs def Aspect lambda def Syntax Single expression Multiple lines allowed Naming Anonymous or assigned to a name Requires a name Use Case Short, throwaway functions Reusable, complex logic Return Implicit (always returns value) Explicit ( return required) 17.4 Using Lambda Functions with Built-in Functions 1. map() Applies a function to every item in an iterable. ...