PyEvalAI
PyEvalAI is a package for automated evaluations of exercises in python.
Installation
PyEvalAI can be quickly installed with pip:
pip install pyevalai
Quick-Start
If you are a student, here is how to use pyevalai:
from pyevalai import show, login, enter_course, handin_exercise
# login to server with username and password
login(url="server-url")
# enter course (for example numerics)
enter_course("Numerics")
# hand in solution for text exercises
handin_exercise("Exercise 1", "my solution...")
# hand in solution for coding exercises
def f(x):
return x**2
handin_exercise("Exercise 2", f)
1 maintainer
Metadata
1 maintainer
Release files for pyevalai 0.0.11
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pyevalai-0.0.11.tar.gz | 5.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pyevalai-0.0.11-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 10.2 kB
Release files / pyevalai-0.0.11.tar.gz
| Download URL | pyevalai-0.0.11.tar.gz |
|---|---|
| Size | 5.2 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/6.2.0 CPython/3.13.1
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Release files / pyevalai-0.0.11-py3-none-any.whl
| Download URL | pyevalai-0.0.11-py3-none-any.whl |
|---|---|
| Size | 5.0 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 |
twine/6.2.0 CPython/3.13.1
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