Pythonwhat Tutorial Course
This tutorial was created to walk user's through using pythonwhat to perform submission correctness testing on DataCamp exercises. Visit the walkthrough on this repo's github page.
Changes made to this repository are automatically built and deployed, both to the github page above, and on DataCamp. Feel free to open issues for any typos / corrections.
Information on Editing
Changes you make to this GitHub repository are automatically reflected in the linked DataCamp course. This means that you can enjoy all the advantages of version control, collaboration, issue handling ... of GitHub.
Workflow
- Edit the markdown and yml files in this repository. You can use GitHub's online editor or use git locally and push your changes.
- Check out your build attempts on the Dashboard.
- Check out your automatically updated course on DataCamp
Getting Started
A DataCamp course consists of two types of files:
course.yml
, a YAML-formatted file that's prepopulated with some general course information.chapterX.md
, a markdown file with:- a YAML header containing chapter information.
- markdown chunks representing DataCamp Exercises.
To learn more about the structure of a DataCamp course, check out the documentation.
Every DataCamp exercise consists of different parts, read up about them here. A very important part about DataCamp exercises is to provide automated personalized feedback to students. In R, these so-called Submission Correctness Tests (SCTs) are written with the testwhat
package. SCTs for Python exercises are coded up with pythonwhat
. Check out the GitHub repositories' wiki pages for more information and examples.
Want to learn more? Check out the documentation on teaching at DataCamp.
Happy teaching!