Contributing to this book
Contents
Contributing to this book¶
Welcome to the computational-thermo repository! We’re excited you’re here and want to contribute.
These guidelines are designed to make it as easy as possible to get involved. If you have any questions that aren’t discussed below, please let us know by opening an issue!
Before you start you’ll need to set up a free GitHub account and sign in. Here are some instructions.
Already know what you’re looking for in this guide? Use the TOC to the right to navigate this page!
Joining the conversation¶
computational-thermo is a new project created by Kyle Niemeyer, for teaching thermodynamics using Python and related open-source software packages.
Since this project currently involves a single primary contributor, there may not be many—or any—public conversations about the project. However, suggestions, contributions, and/or comments are welcome via issues.
As a reminder, we expect all contributors to computational-thermo to adhere to the project Code of Conduct in these conversations.
Contributing through GitHub¶
git is a really useful tool for version control. GitHub sits on top of git and supports collaborative and distributed working.
You’ll use Markdown to chat in issues and pull requests on GitHub.
You can think of Markdown as a few little symbols around your text that will allow GitHub
to render the text with formatting.
For example you could write words as bold (**bold**), or in italics (*italics*),
or as a link to another webpage: [link](https://https://youtu.be/dQw4w9WgXcQ)
GitHub has a helpful page on getting started with writing and formatting Markdown on GitHub.
Understanding issues, milestones and project boards¶
Every project on GitHub uses issues slightly differently.
The following outlines how the computational-thermo developers think about these tools.
Issues are individual pieces of work that need to be completed to move the project forwards. A general guideline: if you find yourself tempted to write a great big issue that is difficult to describe as one unit of work, please consider splitting it into two or more issues.
Issues are assigned labels which explain how they relate to the overall project’s goals and immediate next steps.
Issue labels¶
The current list of labels are here and include:
These issues contain a task that a member of the team has determined we need additional help with.If you feel that you can contribute to one of these issues, we especially encourage you to do so!
These issues contain a task that a member of the team thinks could be a good entry point to the project.If you’re new to the
jupyter-bookproject, we think that this is a great place for your first contribution!
These issues point to problems in the project.If you find new a bug, please give as much detail as possible in your issue, including steps to recreate the error. If you experience the same bug as one already listed, please add any additional information that you have as a comment.
These issues are asking for enhancements to be added to the project.Please try to make sure that your enhancement is distinct from any others that have already been requested or implemented. If you find one that’s similar but there are subtle differences please reference the other request in your issue.
These are questions that users and contributors have asked.Please check the issues (especially closed ones) to see if your question has been asked and answered before. If you find one that’s similar but there are subtle differences please reference the other request in your issue.
Making a change¶
We appreciate all contributions to computational-thermo, but those accepted fastest will follow a workflow similar to the following:
1. Comment on an existing issue or open a new issue referencing your addition.
This allows other members of the jupyter-book development team to confirm that you aren’t overlapping with work that’s currently underway and that everyone is on the same page with the goal of the work you’re going to carry out.
This blog is a nice explanation of why putting this work in up front is so useful to everyone involved.
2. Fork the jupyter-book repository to your profile.
This is now your own unique copy of jupyter-book. Changes here won’t effect anyone else’s work, so it’s a safe space to explore edits to the code!
Make sure to keep your fork up to date with the master repository.
3. Make the changes you’ve discussed.
Try to keep the changes focused. We’ve found that working on a new branch makes it easier to keep your changes targeted.
4. Submit a pull request.
A member of the development team will review your changes to confirm that they can be merged into the main code base. When opening the pull request, we ask that you follow some specific conventions. We outline these below.
Pull Requests¶
To improve understanding pull requests “at a glance”, we encourage the use of several standardized tags. When opening a pull request, please use at least one of the following prefixes:
[BRK] for changes which break existing builds or tests
[DOC] for new or updated documentation
[ENH] for enhancements
[FIX] for bug fixes
[REF] for refactoring existing code
[STY] for stylistic changes
[TST] for new or updated tests, and
You can also combine the tags above, for example if you are updating both a test and the documentation: [TST, DOC].
Pull requests should be submitted early and often!
If your pull request is not yet ready to be merged, please open your pull request as a draft. More information about doing this is available in GitHub’s documentation. This tells the development team that your pull request is a “work-in-progress”, and that you plan to continue working on it.
When your pull request is Ready for Review, you can select this option on the PR’s page, and a project maintainer will review your proposed changes.
Recognizing contributors¶
We welcome and recognize all contributions from documentation to testing to code development. You can see a list of current contributors in the contributors tab.