04_Python_Functions

Introduction 👋

Functions are an essential part of the Python programming language. A function is a block of code defined with a name. We use functions whenever we need to perform the same task multiple times without writing the same code again. It can take arguments and returns the value.

Python has a DRY principle like other programming languages. DRY stands for Don’t Repeat Yourself. Consider a scenario where we need to do some action/task many times. We can define that action only once using a function and call that function whenever required to do the same activity.

Function improves efficiency and reduces errors because of the reusability of a code. Once we create a function, we can call it anywhere and anytime. The benefit of using a function is reusability and modularity.

Table of contents 📋

No.	Name
01	Python_Functions
	1.1 Python_Docstrings
	1.2 Python_Built-In_Functions
	1.3 Python_User-Defined_Functions
02	Python_Function_Global_Local_Nonlocal
03	Python_Function_global_Keywords
04	Python_Function_Arguments
05	Python_Function_Recursion
06	Python_Function_Anonymous
07	Python_Function_Module
08	Python_Function_random_Module
09	Python_Function_math_Module.ipynb
10	Python_Function_Package

These are online read-only versions. However you can Run ▶ all the codes online by clicking here ➞

Frequently asked questions ❔

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You can and Starring and Forking is free for you, but it tells me and other people that it was helpful and you like this tutorial.

Go here if you aren't here already and click ➞ ✰ Star and ⵖ Fork button in the top right corner. You will be asked to create a GitHub account if you don't already have one.

How can I read this tutorial without an Internet connection?

Go here and click the big green ➞ Code button in the top right of the page, then click ➞ Download ZIP.
Extract the ZIP and open it. Unfortunately I don't have any more specific instructions because how exactly this is done depends on which operating system you run.
Launch ipython notebook from the folder which contains the notebooks. Open each one of them

Kernel > Restart & Clear Output

This will clear all the outputs and now you can understand each statement and learn interactively.

If you have git and you know how to use it, you can also clone the repository instead of downloading a zip and extracting it. An advantage with doing it this way is that you don't need to download the whole tutorial again to get the latest version of it, all you need to do is to pull with git and run ipython notebook again.

Authors ✍️

I'm Dr. Milaan Parmar and I have written this tutorial. If you think you can add/correct/edit and enhance this tutorial you are most welcome🙏

See github's contributors page for details.

If you have trouble with this tutorial please tell me about it by Create an issue on GitHub. and I'll make this tutorial better. This is probably the best choice if you had trouble following the tutorial, and something in it should be explained better. You will be asked to create a GitHub account if you don't already have one.

If you like this tutorial, please give it a ⭐ star.

Licence 📜

You may use this tutorial freely at your own risk. See LICENSE.

CAnna696/04_Python_Functions