/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.

Primary LanguageJupyter NotebookMIT LicenseMIT

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binder

01_Python_Introduction

Introduction 👋

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 → binder
  1. Open any Github repository → binder

Installation

Mac OS X and Linux comes pre installed with python. Windows users can download Python

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

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.

Table of contents 📋

No. Name
00 What_is_Programming
00 Intro_to_Python
01 Python_Programming
02 How_to_install_Python
03 Jupyter_Keyboard_Shortcuts_Practice
04 Hello_World
05 Python_Keywords_and_Identifiers
06 Python_Statement_Indentation_Comments
07 Python_Variables_& Constants
08 Python_Literals
09 Python_Data_Types
10 Python_Type_Conversion
11 Python_Input_Output_Import
12 Python_Operators
13 Python_Namespace_and_Scope
14 Jupyter Notebook Cheat Sheet.pdf
15 Python For Data Science Cheat Sheet For Beginners.pdf
16 constant
17 main

These are read-only versions. However you can "Run ▶" all the codes online by clicking here → 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 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 the "⭐ Star" button in the top right corner. You will 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? 🤔

  1. Go here if you aren't here already.

  2. Click the big green "Code" button in the top right of the page, then click ➞ "Download ZIP".

    Download ZIP

  3. 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.

  4. 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 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.

Licence 📜

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