In This Docs are help and learn to Data Science and any secifi Topic Learn.
- In This Project Any Secifiy function and To be find the solution To be help full This Docs Website
- For the Begger Level to Learn Eazy and Its provied the code.
To run the DataSciencewith project locally, follow these steps:
- Install Python, NodeJs, JupyterLab on your machine.
- Clone the project repository.
- Navigate to the project directory.
- Install the packages and Run docs:
git clone https://github.com/thedhruvish.com/datasciencewith.git
cd datasciencewith
npm install
npm start
- DataScienceWith Docs are Live on Machine.
We welcome your interest in contributing to our open source project!
To contribute to DataScienceWith, please follow these steps:
- Fork the repository.
- Create a new branch for your feature or bug fix:
git checkout -b feat/your-feature-name
orgit checkout -b fix/your-bug-fix-name
and make your changes. - Run all the tests 🧪 before committing the changes and make sure all tests are passed.
- After all tests are passed, commit your changes with a descriptive messages:
git commit -am 'add your commit message'
- For more details on the commit format and other guidelines, please refer to the Contributor Guidelines.
- Push your changes to your forked repository:
git push origin feat/your-feature-name
. - Submit a pull request to the main repository, explaining the changes you've made and providing any necessary details.