- Ensure the bug was not already reported by searching on GitHub under Issues.
- If you're unable to find an open issue addressing the problem, open a new one and mark it as bug. Be sure to include a title and clear description, as much relevant information as possible, and a code sample or an executable test case demonstrating the expected behavior that is not occurring.
- If you wrote a patch that fixes a bug
- Open a new GitHub pull request with the patch.
- Ensure the PR description clearly describes the problem and solution. Include the relevant issue number if applicable.
- Follow the same coding conventions and formatting already in DataFrame, as much as you can
- Open an issue and mark it as new feature and clearly describe the new feature/enhancement.
- Wait a few days for feedback.
- Open a branch and implement your new addition/enhancement.
- Follow the same coding conventions and formatting already in DataFrame, as much as you can
- write an explicit and comprehensive test for your new addition/enhancement.
- Make sure your new addition/enhancement and the test compile and run correctly on all supported platforms
- issue a pull request
In general, you should get familiarized with the project and its source code first. I suggest:
- Read the documentation from beginning to end
- Get comfortable with compiling the project
- Go through the Hello World
- Understand the Vectors code
- Go through the other test programs along with most of the features in the documentation
- Contribute + document + write test case