jupyter-saagie-plugin 1.0.4

# Jupyter Saagie plugin This plugin allows you to easily create a Saagie Python job from a local Jupyter notebook.

## Install In your Jupyter Python environment, run: pip install jupyter-saagie-plugin

## Usage Simply run jupyter notebook as always, you will see a new button in the toolbar. Use it to log in to your account and deploy a job using the code in your notebook. You can update an existing job as well.

For deploying to a Python job, Python 3.5 & 2.7 are supported.

If you want to pre-fill your Saagie root URL (used in the plugin’s login form), you can setup a SAAGIE_ROOT_URL environment variable before you run the notebook.

## Uninstall ` pip uninstall jupyter-saagie-plugin jupyter nbextension uninstall saagie --user `

## Modifying this extension In dev mode, you can use a Docker of Jupyter notebook and install this extension in it. First, run a Jupyter Docker in bash mode:

` docker run -it --rm -p 8888:8888 -v [your_project_path]/jupyter-saagie-plugin/:/jupyter-saagie-plugin/ [--env SAAGIE_ROOT_URL="https://xxx-manager.prod.saagie.io/"] saagie/jupyter-python-nbk:latest /bin/bash ` _(Seting up the SAAGIE_ROOT_URL environment variable is optional)_

Then install the Jupyter extension in your Docker container: ` cd /jupyter-saagie-plugin/ python3 setup.py install cd /notebooks-dir /usr/local/bin/start-notebook.sh --NotebookApp.token='' --NotebookApp.password='' `

## Build and share In order to build this plugin, run the following command: ` python setup.py sdist ` This will generate a tar.gz archive in the dist directory.

If you want to share it on Pypi, just install [twine](https://pypi-hypernode.com/pypi/twine) and run: ` twine upload dist/jupyter-saagie-plugin-x.x.x.tar.gz `

But first, You can test your Pypi deployment on [TestPypi](https://testpypi.python.org/pypi) test environment. If so, just run: ` twine upload --repository-url https://test.pypi.org/legacy/ dist/jupyter-saagie-plugin-x.x.x.tar.gz `