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The 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.

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bindercolab

04_Python_Functions

Introduction 👋

Functions are an essential part of the Python programming language. Afunction 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
01Python_Functions
1.1Python_Docstrings
1.2Python_Built-In_Functions
1.3Python_User-Defined_Functions
02Python_Function_Global_Local_Nonlocal
03Python_Function_global_Keywords
04Python_Function_Arguments
05Python_Function_Recursion
06Python_Function_Anonymous
07Python_Function_Module
08Python_Function_random_Module
09Python_Function_math_Module.ipynb
10Python_Function_Package

These are onlineread-only versions. However you canRun ▶ all the codesonline by clicking here ➞binder


Frequently asked questions ❔

How can I thank you for writing and sharing this tutorial? 🌷

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

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


How can I read this tutorial without an Internet connection?GIF

  1. Gohere and click the big green ➞Code button in the top right of the page, then click ➞Download ZIP.

    Download ZIP

  2. 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.

  3. 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🙏

Seegithub's contributors page for details.

If you have trouble with this tutorial please tell me about it byCreate 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, pleasegive it a ⭐ star.


Licence 📜

You may use this tutorial freely at your own risk. SeeLICENSE.

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