README.md

Enlight

learn to code by building projects

projects available

Latest: Neural Network

HTML/CSS/JS

• hex color generator
• text editor
• a minimal clock
• to-do list
• web paint
• quote generator
• geolocation weather app
• auto-compiling code editor
• calculator

Node.js

• real time chat app
• twitter bot

Python

• Guessing Number Game
• Neural Network

Data Science

• Neural Network
• Stock Market Prediction

Blockchain

• Ethereum Token

for the future

• Machine Learning

  • Linear Regression w/ Best Fit Line
  • Classification & Object Detection
  • Recognition algorithm

• Crypto Prediction Algorithm

• Crypto bot

• Blockchain Implementation

• HN Clone

• Twitter Clone

• suggest more ideas using this issue

Contribute by adding your projects & tutorials!

Enlight is open-source, which means we love contributors! Have a project on the web, a cool app you're making, or really anything useful? Share your knowledge! It doesn't have to be a specific programming language, just send us whatever you want to share!

If it's useful, it'll be posted on the site with of course, credit to you!

Pull request

• Fork this repository
• Put the tutorial text in a .md file in the _posts directory and the source code in a folder in the demo directory, We used jekyll to build the site, So for test and debugging you should install jekyll and serve it with jekyll serve command.
• Submit a pull request

E-mail

If you don't want to go through GitHub, you can email me your project+tutorial at [email protected]

thank you!

What is Enlight and why should I use it?

Enlight is a collection of articles and tutorials to enhance the process of learning to code. With topics spanning over many languages and technologies, Enlight is the home for everything development related. A couple years ago, I started to learn web development. At first, I ended up taking many courses and reading books learning. However, I learned so many terms, objects, statements, etc. that I couldn’t really implement them. Then, I started to make mini-projects by following tutorials online and scraping through code on GitHub. I believe that the best way to learn is to create. Make something cool. Then, with your newfound knowledge, make it even better. Trust me, you’ll amaze yourself.