Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/milaan9/02_python_datatypes

Data types specify the different sizes and values that can be stored in the variable. For example, Python stores numbers, strings, and a list of values using different data types. Learn different types of Python data types along with their respective in-built functions and methods.
https://github.com/milaan9/02_python_datatypes

list-comprehension list-comprehensions python-datatypes python-dictionary python-dictionary-methods python-list-methods python-lists python-sets python-sets-methods python-string-maupulation python-string-methods python-strings python-tuple-methods python-tuples python-tutorial-github python-tutorial-notebook python-tutorials python4datascience python4everybody tutor-milaan9

Last synced: 6 days ago
JSON representation

Data types specify the different sizes and values that can be stored in the variable. For example, Python stores numbers, strings, and a list of values using different data types. Learn different types of Python data types along with their respective in-built functions and methods.

Awesome Lists containing this project

README 

        
 

Last Commit 



 



Stars Badge

Forks Badge 

Size

Pull Requests Badge

Issues Badge

Language 

MIT License

 



 

binder

colab    

 



# 02_Python_Datatypes 



## Introduction πŸ‘‹



Data types specify the different sizes and values that can be stored in the variable. For example, Python stores numbers, strings, and a list of values using different data types.



Python is a dynamically typed language; therefore, we do not need to specify the variable’s type while declaring it. Whatever value we assign to the variable based on that data type will be automatically assigned. For example, **`name = 'Arthur'`** here Python will store the name variable as a **`str`** data type.



No matter what value is stored in a variable (object), a variable can be any type like **`int`**, **`float`**, **`str`**, **`list`**, **`set`**, **`tuple`**, **`dict`**, **`bool`**, etc.



---



## Table of contents πŸ“‹



| **No.** | **Name** | 

| ------- | -------- | 

| 01 | **[Python_Numbers](https://github.com/milaan9/02_Python_Datatypes/blob/main/001_Python_Numbers.ipynb)** |

| 02 | **[Python_String](https://github.com/milaan9/02_Python_Datatypes/blob/main/002_Python_String.ipynb)** |

|    | 2.1 **[Python_String_Methods](https://github.com/milaan9/02_Python_Datatypes/tree/main/002_Python_String_Methods)** |

| 03 | **[Python_List](https://github.com/milaan9/02_Python_Datatypes/blob/main/003_Python_List.ipynb)** |

|    | 3.1 **[Python_List_Methods](https://github.com/milaan9/02_Python_Datatypes/tree/main/003_Python_List_Methods)** |

| 04 | **[Python_Tuple](https://github.com/milaan9/02_Python_Datatypes/blob/main/004_Python_Tuple.ipynb)** |

|    | 4.1 **[Python_Tuple_Methods](https://github.com/milaan9/02_Python_Datatypes/tree/main/004_Python_Tuple_Methods)** |

| 05 | **[Python_Dictionary](https://github.com/milaan9/02_Python_Datatypes/blob/main/005_Python_Dictionary.ipynb)** |

|    | 5.1 **[Python_Dictionary_Methods](https://github.com/milaan9/02_Python_Datatypes/tree/main/005_Python_Dictionary_Methods)** |

| 06 | **[Python_Sets](https://github.com/milaan9/02_Python_Datatypes/blob/main/006_Python_Sets.ipynb)** |

|    | 6.1 **[Python_Sets_Methods](https://github.com/milaan9/02_Python_Datatypes/tree/main/006_Python_Sets_Methods)** |



These are online **read-only** versions. However you can **`Run β–Ά`**  all the codes **online** by clicking here ➞ binder



---



## Frequently asked questions ❔



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



You can Star Badge and Fork Badge 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`**](https://github.com/milaan9/02_Python_Datatypes) if you aren't here already and click ➞ **`✰ Star`** and **`β΅– 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. Go [**`here`**](https://github.com/milaan9/02_Python_Datatypes) and click the big green ➞ **`Code`** button in the top right of the page, then click ➞ [**`Download ZIP`**](https://github.com/milaan9/02_Python_Datatypes/archive/refs/heads/main.zip).



    ![Download ZIP](img/dnld_rep.png) 



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 welcomeπŸ™



See [github's contributors page](https://github.com/milaan9/02_Python_Datatypes/graphs/contributors) for details.



If you have trouble with this tutorial please tell me about it by [Create an issue on GitHub](https://github.com/milaan9/02_Python_Datatypes/issues/new). 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](https://github.com/milaan9/02_Python_Datatypes).



---



## Licence πŸ“œ



You may use this tutorial freely at your own risk. See [LICENSE](./LICENSE).