Contributions are welcome, and they are greatly appreciated! Every little bit helps, and credit will always be given.
You can contribute in many ways:
Report bugs at https://github.com/anelendata/target-bigquery
If you are reporting a bug, please include:
- Your operating system name and version.
- Any details about your local setup that might be helpful in troubleshooting.
- Detailed steps to reproduce the bug.
Look through the GitHub issues for bugs. Anything tagged with "bug" and "help wanted" is open to whoever wants to implement it.
Look through the GitHub issues for features. Anything tagged with "enhancement" and "help wanted" is open to whoever wants to implement it.
We could always use more documentation, whether as part of README.md, in docstrings, or even on the web in blog posts,articles, and such.
The best way to send feedback is to file an issue at https://github.com/anelendata/target-bigquery/issues.
If you are proposing a feature:
- Explain in detail how it would work.
- Keep the scope as narrow as possible, to make it easier to implement.
- Remember that this is a volunteer-driven project, and that contributions are welcome :)
Before you submit a pull request, check that it meets these guidelines:
- The pull request should include tests.
- If the pull request adds functionality, the docs should be updated. Put your new functionality into a function with a docstring, and add the feature to the list in README.md.
TODO: Set up Travis: 3. The pull request should work for Python 3.6, 3.7 and 3.8, and for PyPy. Check https://travis-ci.org/anelendata/target-bigquery/pull_requests and make sure that the tests pass for all supported Python versions.
A reminder for the maintainers on how to deploy. Make sure all your changes are committed (including an entry in HISTORY.md). Then run::
$ bump2version patch # possible: major / minor / patch $ git push $ git push --tags
TODO: Set up Travis so it will then deploy to PyPI if tests pass.