Skip to main content

check basic python exercises with pretty feedback

Project description

AutoFeedback: Assignment Checker

https://github.com/abrown41/AutoFeedback/actions/workflows/build_test.yml/badge.svg https://github.com/abrown41/AutoFeedback/actions/workflows/build_docs.yml/badge.svg https://github.com/abrown41/AutoFeedback/actions/workflows/install.yml/badge.svg https://img.shields.io/pypi/v/AutoFeedback.svg https://codecov.io/gh/abrown41/AutoFeedback/branch/master/graph/badge.svg?token=R2Z5SI6T71 https://img.shields.io/lgtm/grade/python/g/abrown41/AutoFeedback.svg?logo=lgtm&logoWidth=18

Check basic python exercises and provide pretty feedback

  • Free software: 3-clause BSD license

Description

AutoFeedback is a suite of python utilities for testing and providing usable feedback introductory python assignments, specifically relevant to mathematics and the use of numpy and matplotlib.

How to use AutoFeedback

AutoFeedback can be installed via pip

pip install AutoFeedback

The suite provides three basic checkers: one each for checking variables, functions and matplotlib.pyplot figures.

Installing a local version of AutoFeedback

If you want to develop AutoFeedback you can install a local version of the code.

cd <path to AutoFeedback>
pip install -r requirements-dev.txt -r requirements.txt
pip install -e .

Usage

Full usage instructions can be found here.

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

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

AutoFeedback-2.15-py3-none-any.whl (32.1 kB view details)

Uploaded Python 3

File details

Details for the file AutoFeedback-2.15-py3-none-any.whl.

File metadata

  • Download URL: AutoFeedback-2.15-py3-none-any.whl
  • Upload date:
  • Size: 32.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.13

File hashes

Hashes for AutoFeedback-2.15-py3-none-any.whl
Algorithm Hash digest
SHA256 86e51318872c0b7f5cac946b7b026781759c50f6f1fa9a3d692a713e08af1f0b
MD5 70b5b48ccd9f307a1f6ebf3b5529d73d
BLAKE2b-256 85fa2cf378d4c881efd8df6a83348eae1034e7ba6fc919dc3cece8e93841dea0

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