Watch our webinar on Python and Jupyter Notebook autograding on demand now! This webinar was part of our monthly focus group series and took place on January 29th of 2021.
Creating an automatically graded Python assignment
In the first part of this webinar, we guide you through all the steps needed to set up an autograded Python assignment in CodeGrade. First, we create some simple I/O (Input / Output) tests to check the functionality of the student submission. Afterwards, we add a Code Quality test to automatically check the style of the student code for the PEP8 styleguide, for this we use the linter Flake8. Finally, we finish our AutoTest with adding some unit tests to autograde the functions our students create, for this we use Pytest, which CodeGrade slightly transformed for education and ease of use.
In our example, we grade Python code that uses Numpy. Of course, you can also grade Python code that uses other libraries like matplotlib, pandas or SciPy, these can be easily installed in the CodeGrade autograder.
Some other best practices shared in our focus group are:
- Adding Hand In Requirements to make sure your students hand in the right python code for your assignment
- Checking for plagiarism on the Python or Jupyter code after the assignment finished
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