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Improve Charlene's package (#45) even further by adding basic information, a documentation website and the config to run the tests automatically on Github Actions.
Choose who in your team is writing now! (make sure you've got a fork and a local copy from Charlene's repository)
Write three files that will make this library sharable, citable and descriptive.
Share your solution even if it's a work-in-progress as a pull request to Charlene's repository mentioning this issue (by including the text Addresses UCL-COMP0233-22-23/RSE-Classwork#46 in the pull request description), remember to mention your team members too! (with @github_username)
π Congratulations, you've created an awesome research software Python package! πππ
Improve Charlene's package (#45) even further by adding basic information, a documentation website and the config to run the tests automatically on Github Actions.
Choose who in your team is writing now! (make sure you've got a fork and a local copy from Charlene's repository)
Write three files that will make this library sharable, citable and descriptive.
Create a
.github/workflows/pytest.yml
file to run the test automatically each time something it's pushed to the repository (See also solutions to the exercise Use CI to run the tests for youΒ #21.Optional: As we did last week, generate a documentation website using
sphinx
. (Using thegithubpages
sphinx extension and pushing the build directory into agh-pages
branch will show you the documentation in the repository's website)Share your solution even if it's a work-in-progress as a pull request to Charlene's repository mentioning this issue (by including the text
Addresses UCL-COMP0233-22-23/RSE-Classwork#46
in the pull request description), remember to mention your team members too! (with@github_username
)π Congratulations, you've created an awesome research software Python package! πππ
Sample solution:
UCL-COMP0233-2022-2023/sagittal_average#4 and (UCL-COMP0233-2022-2023/sagittal_average#5 for the automation of step 4)
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