A lambda function in Python is a small, anonymous function defined with the lambda keyword. It's often referred to as an "anonymous function" because it doesn't have a formal name like functions defined using the def keyword.
Here's a breakdown of its characteristics:
Anonymous: The most defining feature is that it doesn't have a name.
Single Expression: A lambda function can only contain a single expression. This expression is implicitly returned. You cannot have multiple statements (like if/else blocks, for loops, or assignments) within the lambda's body.
Concise Syntax: Its syntax is compact: lambda arguments: expression.
lambda: The keyword that signifies the creation of a lambda function.
arguments: Zero or more arguments, separated by commas, similar to regular function arguments.
:: A colon separates the arguments from the expression.
expression: The single expression that gets evaluated and its result is returned. Best Python Training in Bangalore
When to Use Lambda Functions:
Lambda functions are particularly useful in situations where:
Short, Simple Logic: You need a small, one-off function for a simple operation that can be expressed in a single line.
Higher-Order Functions: They are commonly used as arguments to higher-order functions (functions that take other functions as arguments). Common examples include:
map(): Applies a function to all items in an iterable.
filter(): Filters elements from an iterable based on a function that returns True or False.
sorted(): Sorts an iterable using a custom key function.
reduce() (from functools module): Applies a function cumulatively to the items of an iterable.
Key Differences from def Functions:
Name: Lambda functions are anonymous; def functions have a name.
Statements: Lambda functions are limited to a single expression; def functions can contain multiple statements, loops, conditionals, etc.
Docstrings: def functions can have docstrings for documentation; lambda functions generally do not (though you can technically assign one, it's not conventional).Python Training in Bangalore
Readability for Complex Logic: For anything beyond very simple operations, def functions are generally more readable and maintainable.
In essence, lambda functions provide a compact syntax for creating throwaway functions that are immediately used, often within other functions. While powerful, their conciseness can sometimes reduce readability if misused for complex logic.
Conclusion
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