Skip to main content

Automated python exercise evaluations with AI.

Project description

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)

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

pyevalai-0.0.1.tar.gz (14.6 kB view details)

Uploaded Source

Built Distribution

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

pyevalai-0.0.1-py3-none-any.whl (16.0 kB view details)

Uploaded Python 3

File details

Details for the file pyevalai-0.0.1.tar.gz.

File metadata

  • Download URL: pyevalai-0.0.1.tar.gz
  • Upload date:
  • Size: 14.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.10

File hashes

Hashes for pyevalai-0.0.1.tar.gz
Algorithm Hash digest
SHA256 32fe77e853c9e15b6209bb9b43b6c9f99e2503e457d964aa855121a6b6ee0596
MD5 e3e253b1978a080fced42406553e9bd6
BLAKE2b-256 c564f73292bb84c07c0477a236f33ae1384778db8769fa235175b50a81243b59

See more details on using hashes here.

File details

Details for the file pyevalai-0.0.1-py3-none-any.whl.

File metadata

  • Download URL: pyevalai-0.0.1-py3-none-any.whl
  • Upload date:
  • Size: 16.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.10

File hashes

Hashes for pyevalai-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 91c8f53f4aa0e7494cbcb977870158ff0d4140a9438a8da2cf0c33bfe1a92f5a
MD5 69a904d958772030b7b81cd760a8e75b
BLAKE2b-256 03f635693df610226c2587692b5a4cf2e9de4a9149293f8d6ad3e8f80dfe2210

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