Day - 31 of DevOps

Hello Everyone,

Welcome to Day 31 of DevOps Learning, Today we explore Python Functions.

What is a Function?

In Python, a function is a named block of code that does a specific job. It takes input arguments (if there are), does certain operations, and returns a value (if specified). Python functions allow you to modularize the code and make it more organized and reusable.

Here is a short example of a function

The def keyword is used to define a function, followed by the function name(Teacher).

added print operation inside the function, then we call a function() to perform the jobs specified inside the functions.

Example program 1

Solution:

Different Types of Functions

There are different types of functions in Python based on the defined usage of it. I am listing down the names, some explanations and examples of the functions below

1. Built-in Functions: These are the functions that are predefined in Python, which means that they are available in all Python programs without the need to import plug-ins. Examples include print(), len(), input(), range(), type(), and str().

2. User-Defined Functions: These are functions that are created by the programmer to perform specific tasks in their program. They are defined using the def keyword, followed by the function name and the parameters in parentheses. The function block contains the operations to be performed, and the return statement specifies the value to be returned by the function.

3. Anonymous Functions: Also known as lambda functions, these are small, one-line functions that do not have a name. They are created using the lambda keyword and can take any number of arguments. Lambda functions are commonly used with higher-order functions such as map(), filter(), and reduce().

4. Recursive Functions: These are functions that call themselves in order to solve a problem. They are often used for complex problems that can be broken down into smaller subproblems. Recursive functions have a base case, which is the stopping condition, and a recursive case, which is the condition that calls the function again.

5. Higher-Order Functions: These are functions that take other functions as arguments or return functions as their result. Examples include map(), filter(), reduce(), and sorted(). Higher-order functions are commonly used in functional programming.

6. Method: Methods are functions that are bound to an object, and they can access the object’s data. They are defined in a class and are called using the dot notation, with the object as the left operand and the method as the right operand.

Conclusion

So this was all about functions in Python. Hope you enjoyed reading it and it was of some help to you. Hope to see you soon.

Congrats🎉, On Learning the Python Functions with example programs.

Happy Learning :)