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This Github repo is website for Code Canvas, a learning community for AI-ML, Data and Cloud domain demo project.
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# CodeCanvas ## Overview Welcome to CodeCanvas This repository is your go-to resource for creating, sharing, and collaborating on code snippets and projects. Whether you're a seasoned developer or just starting out, CodeCanvas provides a platform to showcase your coding skills and learn from others in the community. ## Table of Contents - Introduction - Features - Installation - Usage - Examples - Contributing - License - Acknowledgements ## Introduction CodeCanvas is designed to be a collaborative space where developers can easily share code snippets, work on projects together, and learn from each other. Our goal is to foster a community of innovation and continuous learning, making coding more accessible and enjoyable for everyone. ## Features - **Code Snippets:** Share and discover reusable code snippets for various programming languages. - **Project Collaboration:** Work on projects with other developers, track progress, and manage contributions. - **Interactive Demos:** Create and view interactive demos to better understand how code works. - **Community Engagement:** Connect with other developers, provide feedback, and collaborate on exciting projects. ## Installation To get started with CodeCanvas, clone the repository and install the required dependencies: ```bash git clone https://github.com/yourusername/CodeCanvas.git cd CodeCanvas pip install -r requirements.txt ``` ## Usage ### Sharing Code Snippets 1. **Create a New Snippet:** ```bash python create_snippet.py --title "My Snippet" --language "Python" --code "print('Hello, World!')" ``` 2. ```bash python view_snippets.py ``` ### Collaborating on Projects 1. **Create a New Project:** ```bash python create_project.py --name "Awesome Project" --description "This is an awesome project." ``` 2. **Add Contributors:** ```bash python add_contributor.py --project "Awesome Project" --username "contributor_username" ``` 3. **Track Progress:** ```bash python track_progress.py --project "Awesome Project" ``` ## Examples Check out the `examples` directory for sample code snippets and projects. Here are a few highlights: - **Python Snippets:** Useful Python code snippets for data manipulation, web scraping, and more. - **Web Development Projects:** Collaborative projects focused on front-end and back-end web development. - **Machine Learning Demos:** Interactive demos showcasing machine learning models and techniques. ## Contributing We welcome contributions to CodeCanvas! To contribute, please follow these steps: 1. Fork the repository. 2. Create a new branch (`git checkout -b feature-branch`). 3. Commit your changes (`git commit -m 'Add new feature'`). 4. Push to the branch (`git push origin feature-branch`). 5. Open a Pull Request. ## License This project is licensed under the MIT License. See the LICENSE file for details. ## Acknowledgements We would like to thank the open-source community for their valuable tools and resources. Special thanks to all contributors for their efforts and support. Together, we can make CodeCanvas a vibrant and collaborative space for developers worldwide.
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This Github repo is website for Code Canvas, a learning community for AI-ML, Data and Cloud domain demo project.
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