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Contributing to Data Analysis Library

We welcome contributions to the Data Analysis Library! This document provides guidelines on how to contribute to the project.

Table of Contents

Code of Conduct

Please follow our Code of Conduct to maintain a positive and inclusive environment.

Getting Started

Issues

If you find a bug or have a suggestion for a new feature or improvement, please start by checking if a related issue already exists. If not, feel free to open a new issue with a clear and concise description.

Pull Requests

Pull requests are a great way to propose changes. To submit a pull request:

  1. Fork the repository.
  2. Create a new branch (git checkout -b my-new-feature).
  3. Make your changes.
  4. Commit your changes (git commit -am 'Add some feature').
  5. Push to the branch (git push origin my-new-feature).
  6. Create a new Pull Request.

Development Setup

To set up a development environment:

  1. Fork and clone the repository.
  2. Install the required dependencies (pip install -r requirements.txt).
  3. Make your changes.
  4. Test your changes.
  5. Submit a pull request.

Coding Guidelines

Please follow the PEP 8 style guide for Python code.

Testing

Ensure that all tests pass before submitting a pull request. You can run the tests using:

python -m unittest discover tests