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in python, functions are an essential part of the language. they allow you to encapsulate a block of code and execute it whenever needed. one interesting feature of python functions is that they can have types. in this tutorial, we'll explore different types of functions in python and how they can be defined and utilized effectively.
regular functions are the most commonly used type of functions in python. they are defined using the def keyword followed by the function name, parameters, and a colon. here's an example:
in this example, greet is a regular function that takes one parameter name and returns a greeting message.
lambda functions, also known as anonymous functions, are small, one-liner functions defined using the lambda keyword. they are often used for short operations and can be passed as arguments to higher-order functions. here's an example:
in this example, add is a lambda function that takes two parameters x and y and returns their sum.
nested functions are functions defined inside other functions. they are useful for grouping related functionality together and improving code organization. here's an example:
in this example, outer_func is a function that defines and returns inner_func, which is a nested function.
recursive functions are functions that call themselves either directly or indirectly in order to solve a problem. they are particularly useful for solving problems that can be broken down into smaller, similar sub-problems. here's an example of a recursive function to calculate the factorial of a number:
in this example, factorial is a recursive function that calculates the factorial of a given number n.
in this tutorial, we've covered different types of functions in python, including regular functions, lambda functions, nested functions, and recursive functions. understanding these different types of functions and their usage will help you write cleaner and more efficient code in python. experiment with these examples and try incorporating t ...
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