- Use Git and GitHub
- Work with Python files (and not just notebooks!)
- Do a pull request on a GitHub repository
- Format your code properly using standard Python conventions
- Make your code pass tests run automatically on a continuous integration system (GitHub actions)
- Fork the repository by clicking on the
Fork
button on the upper right corner - Clone the repository of your fork with:
git clone https://github.com/MYLOGIN/datacamp-assignment-pandas
(replace MYLOGIN with your GitHub login) - Create a branch called
MYLOGIN
usinggit checkout -b MYLOGIN
- Make the changes to complete the assignment. You have to modify the files that contain
questions
in their name. Do not modify the files that start withtest_
. - Check locally that your solution meet the test by running
pytest
from the root of the repo. You may need to installpytest
usingpip
orconda
. - Check the code formating for your solution using
flake8
. You may need to installflake8
usingpip
orconda
. - Open the pull request on GitHub:
- Create a commit with
git add -u
andgit commit -m "UP my solution"
- Push your branch on your fork:
git push -u origin MYLOGIN
- Go to your repo in your browser and click the
Open a PR
button.
- Create a commit with
- Keep pushing to your branch until the continuous integration system is green.
- When it is green notify the professors on Slack that your done.
If you need help ask on the Slack of the DataCamp course.