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https://github.com/milaan9/01_python_introduction

Learn the basics of Python. These tutorials are for Python beginners. so even if you have no prior knowledge of Python, you won’t face any difficulty understanding these tutorials.
https://github.com/milaan9/01_python_introduction

jupyter-notebook jupyter-tutorial namespace-scope python-imports python-introduction python-jupyter-notebooks python-keywords python-operators python-tutor python-tutorial-github python-tutorial-notebook python-tutorials python-variables python4beginner python4datascience python4everybody tutor-milaan9 tutorial-exercises tutorial-github type-conversion

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Learn the basics of Python. These tutorials are for Python beginners. so even if you have no prior knowledge of Python, you won’t face any difficulty understanding these tutorials.

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# 01_Python_Introduction  



## Introduction πŸ‘‹



Python is a modern, robust, high level programming language. It is very easy to pick up even if you are completely new to programming.

 

---



## Online 



1. JupyterLab β†’	binder 

   



2. Open any Github repository β†’ binder    



---



## Installation



Mac OS X and Linux comes pre installed with python. Windows users can download [![Python](https://img.shields.io/badge/Python-FFD43B?style=flat&logo=python&logoColor=darkgreen)](https://www.python.org/downloads/)



To install IPython run,



     pip install ipython[all]

    

This will install all the necessary dependencies for the notebook, qtconsole, tests etc.



### Installation from unofficial distributions



Installing all the necessary libraries might prove troublesome. Anaconda and Canopy comes pre packaged with all the necessary python libraries and also IPython.



#### Anaconda 



Download [![Anaconda](https://img.shields.io/badge/Anaconda-342B029.svg?&style=flate&logo=anaconda&logoColor=white)](https://www.anaconda.com/products/individual)



Anaconda is completely free and includes more than 300 python packages. Both python 2.7 and 3.9 options are available.



## Launching Jupyter Notebook



From the terminal



    ipython notebook



In Anaconda, Open the respective terminals and execute the above.



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## Table of contents πŸ“‹



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

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

| 000 | **[What_is_Programming](https://github.com/milaan9/01_Python_Introduction/blob/main/0000_What_is_Programming.ipynb)** |

| 00 | **[Intro_to_Python](https://github.com/milaan9/01_Python_Introduction/blob/main/000_Intro_to_Python.ipynb)** |

| 01 | **[Python_Programming](https://github.com/milaan9/01_Python_Introduction/blob/main/001_Python_Programming.ipynb)** |

| 02 | **[How_to_install_Python](https://github.com/milaan9/01_Python_Introduction/blob/main/001_How_to_install_Python.ipynb)** |

| 03 | **[Jupyter_Keyboard_Shortcuts_Practice](https://github.com/milaan9/01_Python_Introduction/blob/main/003_Jupyter_Keyboard_Shortcuts_Practice.ipynb)** |

|    | **[markdown](https://github.com/milaan9/01_Python_Introduction/tree/main/markdown)** |

| 04 | **[Hello_World](https://github.com/milaan9/01_Python_Introduction/blob/main/004_Hello_World.ipynb)** |

| 05 | **[Python_Keywords_and_Identifiers](https://github.com/milaan9/01_Python_Introduction/blob/main/005_Python_Keywords_and_Identifiers.ipynb)** |

|    | **[Python_Keywords_List](https://github.com/milaan9/01_Python_Introduction/blob/main/Python_Keywords_List.ipynb)** |

| 06 | **[Python_Statement_Indentation_Comments](https://github.com/milaan9/01_Python_Introduction/blob/main/006_Python_Statement_Indentation_Comments.ipynb)** |

| 07 | **[Python_Variables_& Constants](https://github.com/milaan9/01_Python_Introduction/blob/main/007_Python_Variables_%26_Constants.ipynb)** |

| 08 | **[Python_Literals](https://github.com/milaan9/01_Python_Introduction/blob/main/008_Python_Literals.ipynb)** |

| 09 | **[Python_Data_Types](https://github.com/milaan9/01_Python_Introduction/blob/main/009_Python_Data_Types.ipynb)** |

| 10 | **[Python_Type_Conversion](https://github.com/milaan9/01_Python_Introduction/blob/main/010_Python_Type_Conversion.ipynb)** |

| 11 | **[Python_Input_Output_Import](https://github.com/milaan9/01_Python_Introduction/blob/main/011_Python_Input_Output_Import.ipynb)** |

| 12 | **[Python_Operators](https://github.com/milaan9/01_Python_Introduction/blob/main/012_Python_Operators.ipynb)** |

| 13 | **[Python_Namespace_and_Scope](https://github.com/milaan9/01_Python_Introduction/blob/main/013_Python_Namespace_and_Scope.ipynb)** |

| 14 | **[Jupyter Notebook Cheat Sheet.pdf](https://github.com/milaan9/01_Python_Introduction/blob/main/Jupyter%20Notebook%20Cheat%20Sheet.pdf)** |

| 15 | **[Python For Data Science Cheat Sheet For Beginners.pdf](https://github.com/milaan9/01_Python_Introduction/blob/main/Python%20For%20Data%20Science%20Cheat%20Sheet%20For%20Beginners.pdf)** |

| 16 | **[constant](https://github.com/milaan9/01_Python_Introduction/blob/main/constant.ipynb)** |

| 17 | **[main](https://github.com/milaan9/01_Python_Introduction/blob/main/main.ipynb)** |



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



---



## Frequently asked questions (FAQ) ❔



### 1. 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/milaan9/01_Python_Introduction) 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.



---



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



1. Go [**`here`**](https://github.com/milaan9/01_Python_Introduction) and click the big green ➞ **`Code`** button in the top right of the page, then click ➞ [**`Download ZIP`**](https://github.com/milaan9/01_Python_Introduction/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/milaan9/01_Python_Introduction/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/milaan9/01_Python_Introduction/issues/new) PNG 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/milaan9/01_Python_Introduction).



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## Licence πŸ“œ



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