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CONTRIBUTING.md

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# Contributing to DABEST-Python
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## Did you find a bug?
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- Ensure the bug was not already reported by searching in [Issues](https://github.com/ACCLAB/DABEST-python/issues). Check that the bug hasn't been addressed in a closed issue.
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- If the bug isn't being addressed, open a new one. Be sure to include a title and clear description, and a [minimally reproducible code sample](https://matthewrocklin.com/blog/work/2018/02/28/minimal-bug-reports) demonstrating the expected behavior that is not occurring.
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## Did you write a patch that fixes a bug?
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- Open a new GitHub pull request with the patch.
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- Ensure the PR description clearly describes the problem and solution. Include the relevant issue number if applicable.
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## Do you intend to add a new feature or change an existing one?
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- Suggest your change by opening an issue, and adding an Enhancement tag.
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- If the maintainers and the community are in favour, create a fork and start writing code.
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DABEST is a community tool for estimation statistics and analysis. We look forward to more robust and more elegant data visualizations from you all!

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