Welcome to the Web-Mini-Projects repository! This repository contains a collection of small web-based projects designed to improve your web development skills. Each project focuses on a specific functionality and uses various web technologies.
This repository is a collection of mini web projects built with HTML, CSS, and JavaScript. The projects include a digital clock, a countdown timer, a color palette picker, and more. These projects are ideal for beginners who want to practice and enhance their web development skills.
Here is a list of the projects included in this repository :
To run these projects locally, follow these steps :
-
Clone the repository to your local machine :
git clone https://github.com/SonawaneAshwini/Web-Mini-Projects.git
-
Navigate to the project directory :
cd Web-Mini-Projects/projects/<Project Name>
-
Open the
index.html
file in your web browser to view and run the project.open index.html
- HTML
- CSS
- JavaScript
- Node.js (for backend projects)
- Express (for backend projects)
- Socket.io (for real-time applications)
- Various APIs
Before running these projects, ensure you have the following installed on your machine :
- A web browser (e.g., Chrome, Firefox, Safari)
- A text editor or IDE (e.g., VS Code, Sublime Text)
For certain projects that may involve additional tooling, follow any specific instructions provided in the project's subfolder.
- Go
here
and click the big green ➞Code
button in the top right of the page, then click ➞Download ZIP
.
-
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.
-
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.
This project is licensed under the MIT License. See the LICENSE file for details.
- Ashwini Sonawane
- Contact: [email protected]
- GitHub: Profile
- Shravan Dalavi
- Contact: [email protected]
- GitHub: Profile
If you like this tutorial, please give it a ⭐ star.
Thank you for visiting my repository! I hope you find my projects interesting and useful. 😊