Autograding Jupyter Notebooks
CodeGrade can also be used to automatically grade and review Jupyter Notebooks (or IPython Notebooks). Firstly, we will go over how to automatically run .ipynb files in CodeGrade, for manual code grading. After that, we will go over the easy steps required to autograde Jupyter Notebooks in CodeGrade, we do this by first converting the code to a regular Python script, which we then import in our I/O Test to grade and check variables or functions.
Finally, we briefly mentioned our in-house Jupyter Notebook unit testing framework called cg-jupyter-unit. This has similar functionalities to common tools like NBGrader but is made especially for code grade and has an easier user experience. This framework is now in closed beta; feel free to email us at email@example.com if you want to participate.
Using Semgrep to autograde Python or Jupyter code structure
Importing Python code without printing (for Jupyter I/O Tests)
We finish our webinar with a quick trick that will help you better grade Jupyter Notebooks automatically. As we import the distilled Python script in the Python interpreter, we get superfluous output if students manually print things in their Notebook. To prevent this, the following script can be used:
-!- CODE language-python -!-from contextlib import redirect_stdout
from os import devnull
with redirect_stdout(open(devnull, 'w')):
import jupyter #<-- The name of your script
This webinar and article point you in the right direction to set up your own automatic tests for your programming assignments. Of course, the possibilities with CodeGrade's AutoTest are endless. Would you like to learn more about setting up Python or Jupyter Notebook automatic grading for your code exercise? Or would you like to participate in our closed betas? Feel free to email me at firstname.lastname@example.org and I’d be more than happy to help out!