GV

GeezerVison

The World Wide Web, restored to 800 pixels of glory.

Home|About|Gaming cabinet|Archives|How it works|Starter sites

On this site

  • Sign in
  • ActionsCI/CD and automation
  • CodespacesCloud development environments
  • All Features
  • Documentation
  • Training
  • Certifications
  • Build with Copilot
  • Customize Copilot
  • Integrations
  • Trending repos
  • GitHub Sponsors
  • Developer articles
  • Enterprises

This view

  • Original page
  • New address

GeezerVison is showing github.com — GitHub - source-nerd/Python-Tutorial: All Inclusive Python Tutorial

BranchesTags
Open more actions menu

Latest commit

 

History

19 Commits
19 Commits

Folders and files

NameName
Last commit message
Last commit date
.gitignore
.gitignore
 
 
LICENSE
LICENSE
 
 
README.md
README.md
 
 
data_structures.ipynb
data_structures.ipynb
 
 
lambda_map_filter.ipynb
lambda_map_filter.ipynb
 
 
python_basics.ipynb
python_basics.ipynb
 
 
requirements.txt
requirements.txt
 
 

Repository files navigation

Welcome to Python Tutorial

This is a brief Python 3 programming tutorial who want to either brush up or learn Python as a programming language. I have tried to show everything in simple & plain language executed in Jupyter Notebook.

This tutorial is aimed at people with some prior programming experience. Since, there are few tutorials in basics now but we will quickly be diving into advanced py stuff.

Requirements: You are free to use Python 3.3 or above. Don't use Python 2.x as they are slowly fading away. Again you can use Python 2 but someone will have to convert it to Python 3 so its best to use Python 3.

Note: This tutorial does not aims to provide you the basic instruction like What is Python, Installation Notes, etc. You are free to discuss it or you can post it in Issues section if you feel something is incorrect or if you want something to be incorporated.

Contents

This tutorial as of now contains only one section. The list will be updated shortly once I complete my code. Collaborators are most welcome.

BASICS

  1. Python Basics
  2. Data Structures in Python
  3. Lambda, Map, Filter Functions

Project Instructions

Feel free to clone this repo or download it. Then follow the following steps in-order to run it properly in your local machine.

  1. Initialize the Project folder in virtual environment.
  2. Make sure to install the complete requirements.txt: pip install -r requirements.txt
  3. And then you are all set, you can execute the code cell by cell and test it your self.

Note: If you are having issue in initializing the project as virtual env then do let me know. You can post it in the issues section.

Feedback

It may not be very optimized, so if you tend to find any bug fixes, feature requests, pull requests, feedback, etc., are welcome... If you like this tutorial, please do give it a star.

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

About

All Inclusive Python Tutorial

Topics

jupyter-notebookpythonpython3python36tutorialtutorial-code

Resources

Readme
MPL-2.0 license
Activity

Stars

1 star

Watchers

1 watching

Forks

0 forks
Report repository

Releases

Packages

Contributors

Languages

You are visitor 01402503 — GeezerVison does not store the pages you look up.
Best viewed with Netscape Navigator 4.7 or Internet Explorer 6 at 800×600. No cookies required.