Skip to main content

A JupyterLab and Jupyter Notebook extension for rendering unittest results

Project description

A JupyterLab and Jupyter Notebook extension for rendering unittest results.

This project consists in a nbextension for Jupyter Notebooks and a labextension for Jupyter Lab. It adds the following features to Jupyter: * Test status in toolbar (result of IPython Unittest) * Argument –previous, to move to previous cells after execution * Timer, pair programming log, function generation for coding dojo sessions * Syntax highlight for %%write {mode} magic

Prerequisites

  • JupyterLab ^0.30.0 and/or Notebook >=4.3.0

How to Install

If you want to install the Jupyter Notebook extension:

pip install jupyter_dojo
jupyter nbextension enable --py --sys-prefix jupyter_dojo

If you want to install the Jupyter Lab extension:

jupyter labextension install @jupyter_dojo/labextension

Note that Jupyter Lab extension API is not stable yet. Thus, it is very likely that future version will break this extension.

Development

pip install -e .
# For JupyterLab
jupyter labextension link labextension
jupyter lab build
# For Notebook
jupyter nbextension install --symlink --py --sys-prefix jupyter_dojo
jupyter nbextension enable --py --sys-prefix jupyter_dojo

Contact

Do not hesitate to contact me:

License Terms

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

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

jupyter_dojo-0.3.2.tar.gz (46.8 kB view details)

Uploaded Source

Built Distribution

jupyter_dojo-0.3.2-py3-none-any.whl (70.9 kB view details)

Uploaded Python 3

File details

Details for the file jupyter_dojo-0.3.2.tar.gz.

File metadata

File hashes

Hashes for jupyter_dojo-0.3.2.tar.gz
Algorithm Hash digest
SHA256 a473ba827fcbf8f99c86373c7863b95e308ecc9c9efafe1ddd4180310efcaa8e
MD5 6b4062d1c395802c2a755ad938fabd86
BLAKE2b-256 36f8b9ba793062651db6c9dbc684c6102a97e8b8426ab14f002b7eeade25aa54

See more details on using hashes here.

File details

Details for the file jupyter_dojo-0.3.2-py3-none-any.whl.

File metadata

File hashes

Hashes for jupyter_dojo-0.3.2-py3-none-any.whl
Algorithm Hash digest
SHA256 9f13e77a0a4185434a3462443627801314b72192a83d3be187aa6273ce46ec09
MD5 52fd2fb0ae6dcdcfb37a40ff0fde0bc6
BLAKE2b-256 98a519d8bcb91daa8ff2269035a164d3b29a1490ffb2e6030011f3a1012c5aa3

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page