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# Contributing to Scrape-ML | ||
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Thank you for considering contributing to Scrape-ML! We welcome all types of contributions—bug reports, feature suggestions, documentation improvements, and code contributions. To make the process smooth, please follow the guidelines below. | ||
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## Table of Contents | ||
1. [Code of Conduct](https://github.com/recodehive/Scrape-ML/blob/main/CODE_OF_CONDUCT.md) | ||
2. [How to Contribute](#how-to-contribute) | ||
- [Reporting Bugs](#reporting-bugs) | ||
- [Suggesting Enhancements](#suggesting-enhancements) | ||
- [Submitting Code Changes](#submitting-code-changes) | ||
3. [Pull Request Process](#pull-request-process) | ||
4. [Development Environment Setup](#development-environment-setup) | ||
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## Code of Conduct | ||
By participating in this project, you agree to uphold our [Code of Conduct](CODE_OF_CONDUCT.md). Please ensure that your contributions are respectful and considerate of others. | ||
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## How to Contribute | ||
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### Reporting Bugs | ||
If you find a bug, please open an issue in our repository. When reporting a bug, provide as much detail as possible, including: | ||
- The version of Python you’re using. | ||
- Steps to reproduce the issue. | ||
- Screenshots or error logs, if available. | ||
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### Suggesting Enhancements | ||
We are open to feature suggestions and improvements! If you have an idea for enhancing the project, please open an issue with: | ||
- A clear and concise description of the suggested feature. | ||
- How it would be beneficial to the project. | ||
- Any potential implementation details you have in mind. | ||
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### Submitting Code Changes | ||
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1. **Fork the repository:** | ||
- Click the "Fork" button in the top right corner of the repository page on GitHub. | ||
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2. **Clone the forked repository locally:** | ||
```sh | ||
git clone https://github.com/your-username/Scrape-ML.git | ||
cd scrape-ml | ||
``` | ||
4. **Create a new branch for your changes:** | ||
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```sh | ||
git checkout -b your-feature-branch | ||
``` | ||
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5. **Make your changes:** | ||
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* Ensure code quality and update documentation as necessary. | ||
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6. **Test your changes thoroughly:** | ||
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* Run existing tests and verify that everything works as expected. | ||
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7. **Commit your changes with a descriptive message:** | ||
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```sh | ||
git add . | ||
git commit -m "Add a brief description of the changes made" | ||
``` | ||
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8. **Push to your fork and submit a pull request:** | ||
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```sh | ||
git push origin your-feature-branch | ||
``` | ||
9. **Go to the original repository on GitHub and click on "New Pull Request."** | ||
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* Select your branch from the dropdown and create the pull request. | ||
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## Pull Request Process | ||
- Ensure your code follows the existing code style. | ||
- Update documentation as needed. | ||
- Verify that all existing tests pass and write new tests for new features. | ||
- Mention the issue your pull request addresses (if applicable). | ||
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## Development Environment Setup | ||
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To contribute to Scrape-ML, follow these steps to set up your development environment: | ||
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### Prerequisites | ||
- Python 3.7 or higher | ||
- [BeautifulSoup](https://www.crummy.com/software/BeautifulSoup/bs4/doc/) | ||
- [Requests](https://docs.python-requests.org/en/latest/) | ||
- Jupyter Notebook | ||
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### Setup Instructions | ||
1. Clone the repository: | ||
```sh | ||
git clone https://github.com/your-username/scrape-ml.git | ||
``` | ||
2. Create and activate a virtual environment: | ||
```sh | ||
python -m venv env | ||
source env/bin/activate # For Linux/macOS | ||
.\env\Scripts\activate # For Windows | ||
``` | ||
3. Install the dependencies: | ||
```sh | ||
pip install -r requirements.txt | ||
``` | ||
4. Launch Jupyter Notebook to start contributing: | ||
```sh | ||
jupyter notebook | ||
``` | ||
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## Additional Guidelines | ||
- Make sure to follow clean coding practices. | ||
- Add comments wherever necessary for better code understanding. | ||
- If you are adding new functionality, update the documentation in the README. | ||
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We are excited to see your contributions and collaborate with you! |