Grading Tools
This library allows you to compare student submissions to an answer, and provide
meaningful feedback. It currently accommodates basic Python data structures, pandas
Series and DataFrames, scikit-learn models, and images.
Installation
$ pip install grading-tools
Usage
>>> from grading_tools.graders import PythonGrader
>>> sub = {"snake": "reptile", "frog": "reptile"}
>>> ans = {"snake": "reptile", "frog": "amphibian"}
>>> g = PythonGrader(sub, ans)
>>> g.grade_dict()
>>> g.return_feedback(html=False)
{
'score': 0,
'passed': False,
'comment': "The value for the key `frog` doesn't match the expected result."
}
License
grading-tools was created by
Nicholas Cifuentes-Goodbody at
WorldQuant University. It is not currently licensed for reuse of
any kind.
Contributing
This package uses Python Semantic Release, so all commit messages must follow the Angular format.
1 maintainer
Metadata
1 maintainer
Release files for grading_tools 0.21.3
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| grading_tools-0.21.3.tar.gz | 19.2 kB | Without provenance | Details for grading_tools-0.21.3.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| grading_tools-0.21.3-py3-none-any.whl | Python 3 | none | any | Details for grading_tools-0.21.3-py3-none-any.whl |
Total release size: 39.2 kB
Release files / grading_tools-0.21.3.tar.gz
| Download URL | grading_tools-0.21.3.tar.gz |
|---|---|
| Size | 19.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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poetry/1.6.1 CPython/3.11.5 Darwin/21.6.0
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Release files / grading_tools-0.21.3-py3-none-any.whl
| Download URL | grading_tools-0.21.3-py3-none-any.whl |
|---|---|
| Size | 20.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.6.1 CPython/3.11.5 Darwin/21.6.0
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