A project to create a set of tools to add autograding capability to Python programming courses using Jupyter or Colab notebooks.
The main target audience is teaching staff who develops programming courses using Jupyter notebooks. The tools provided by this project facilitate addition of autogradable tests to programming assignments, automatic extraction of the autograding tests and student versions of the notebooks, and easy deployment of the autograding backend to the cloud.
The main focus is Japanese universities, so the example assignments provided
in the exercises/ subdirectory are mostly in Japanese language.
If you have a course based on Jupyter notebooks and want to integrate the autochecking tests, there are multiple different way how the autochecking tests can be run:
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Inside the student notebook (e.g. on Colab). The execution of autochecking tests is handled within the same Python Runtime that student uses. Note that this approach only supports self-checking, and cannot be used for grading student work. See the details in docs/colab.md.
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Hosted on Google Cloud Run. The scripts in this repository provide a server and build scripts to build a Docker image that can be deployed to Google Cloud Run. The student submissions can be optionally logged. See the details in docs/cloudrun.md.
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Manual execution via scripts. This can be used for local grading of student submissions against the tests defined in the instructor notebook. See the details in docs/grading.md.
The markup format for instructor notebooks is common and described here:
If you want to contribute to this project, start authoring notebooks or contribute to the project development, see SETUP.md for instructions on how to set up the development environment.
Apache-2.0; see LICENSE for details.
This project is not an official Google project. It is not supported by Google and Google specifically disclaims all warranties as to its quality, merchantability, or fitness for a particular purpose.