Skip to main content

Routines for interacting with Cornell installations of Canvas and Qualtrics

Project description

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

cornellgrading-2.24.0.tar.gz (40.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

cornellgrading-2.24.0-py3-none-any.whl (41.7 kB view details)

Uploaded Python 3

File details

Details for the file cornellgrading-2.24.0.tar.gz.

File metadata

  • Download URL: cornellgrading-2.24.0.tar.gz
  • Upload date:
  • Size: 40.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.8.18

File hashes

Hashes for cornellgrading-2.24.0.tar.gz
Algorithm Hash digest
SHA256 19663a6fc48986a91a040d8781ce23ec5d3babecd04b1ef7292b26286b1bfff8
MD5 82bba667beb929808d87e417cef4e111
BLAKE2b-256 6ab6dfd34fbe46873419cbc54f4c844640df1ba5c7641e8a4832680a9f93b433

See more details on using hashes here.

File details

Details for the file cornellgrading-2.24.0-py3-none-any.whl.

File metadata

File hashes

Hashes for cornellgrading-2.24.0-py3-none-any.whl
Algorithm Hash digest
SHA256 1e1b941cc556db8c629891df4eb710f5c32dd8e238598f705a98d81344c411cd
MD5 2f9e8248e6d4a1ec26e7903a2de1b534
BLAKE2b-256 1efeca44064c2b45dbb2bd8d1627749af3bf489e3ff8994f7bde0203ee63589f

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page