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Routines for semi-automated grading of MATLAB coding assignments and interaction with Canvas and Qualtrics

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grading

Routines for semi-automated grading of MATLAB coding assignments and interaction with Canvas and Qualtrics.

By Dmitry Savransky with contributions by Guy Hoffman and Brian Kirby. Thanks also to Hadas Ritz for extensive testing and QA.

Please note: the Canvas routines have the potential to bork your gradebook and (unlikely but possibly) whole course site. Use at your own risk.

Documentation Status Code style: black PyPI version

cornellGrading Installation

To install from PyPI:

pip install --user cornellGrading

Or, with optional dependencies required to push LaTeX into Canvas HTML:

pip install --user cornellGrading[latex2html]

To install system-wide, omit the --user option.


NOTE

The latex2html option requires the pandoc executable to be installed and in the system PATH. For detailed pandoc installation instructions see here: https://pandoc.org/installing.html


If cloning from github, in the cloned grading directory:

pip install --user .

or, to install in developer mode:

pip install --user -e .

In order to also install requirements needed push LaTeX into Canvas HTML, do:

pip install --user -e .[latex2html]

cornellGrading Documentation

Documentation is available here: https://grading.readthedocs.io/

Docstrings: https://grading.readthedocs.io/en/latest/cornellGrading.html#module-cornellGrading.cornellGrading

Acknowledgements

cornellGrading uses UCF/Open_'s canvasapi and the black code formatter.

Testimonials

I love pagescript.py. So easy to add my notes, matlab, powerpoint to module right after class. Bless you. --Hadas Ritz

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Routines for semi-automated grading of MATLAB coding assignments and interaction with Canvas and Qualtrics

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