Skip to main content

A package to convert UR FIDS jupyter notebooks

Project description

Test Badge Coverage Badge Download Badge

URNC

Uni Regensburg Notebook Converter

Installation

pip install urnc

Or update from an older version:

pip install urnc --upgrade

Usage

# Clone example course and change into course directory
git clone https://github.com/spang-lab/urnc-example-course
cd urnc-example-course

# Convert a single notebook to student version
urnc convert assignments/sheet1.ipynb student/sheet1.ipynb

# Convert all assignment notebooks to student versions
urnc convert assignments

# Convert all assignment notebooks to student version, pull student repo and
# copy over converted notebooks
urnc student

You can find a more detailed introduction to URNC at page Usage of URNC's Documentation Website.

Documentation

You can find the full documentation for URNC at spang-lab.github.io/urnc. Amongst others, it includes chapters about:

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

urnc-2.3.4.tar.gz (39.9 kB view details)

Uploaded Source

Built Distribution

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

urnc-2.3.4-py3-none-any.whl (37.1 kB view details)

Uploaded Python 3

File details

Details for the file urnc-2.3.4.tar.gz.

File metadata

  • Download URL: urnc-2.3.4.tar.gz
  • Upload date:
  • Size: 39.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for urnc-2.3.4.tar.gz
Algorithm Hash digest
SHA256 5d68baa8943a088a3d4de22b29f786195efe7caca2abbb9a4381ffc6ded2d7ec
MD5 5ac4b6e4bad4396c257933cdb08f7cb3
BLAKE2b-256 5f8991a4d285318de0d096ec40830d76059a5f4d6e7b921493218bc55efa3f32

See more details on using hashes here.

File details

Details for the file urnc-2.3.4-py3-none-any.whl.

File metadata

  • Download URL: urnc-2.3.4-py3-none-any.whl
  • Upload date:
  • Size: 37.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for urnc-2.3.4-py3-none-any.whl
Algorithm Hash digest
SHA256 e95880e5e3eeba9889991033426db7413319dc532acea01bea115d96e7b3f662
MD5 122ab9ba20a7516b140dc7d40a542a24
BLAKE2b-256 800f9dbdf672c4f4b8a27315e1b614e0441d96641a3db0232eb904ee26c9fcc1

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