spark

Jupyter Lab ipython extension used for teaching the Schulich Ignite sessions.

Table of contents

• Documentation
  • Files
  • Building
• Testing locally

Documentation

The user documentation is built using mkdocs. To build locally you will need to pip install:

• mkdocs
• mkdocs-material

Developer documentation can be found in CONTRIBUTING.md.

Files

All the files are built in pure markdown and can be found in /docs, the site configuration (including nav links) can be found in mkdocs.yml.

Building

To build a local copy run mkdocs --serve and you will have a local copy available at https://localhost/8000

A release will build every time new code is pushed to the gh-pages branch, but can also be manually triggered via github actions pipelines

Testing locally

Install NodeJS using one of the methods below:

• If on Windows, you can download binaries from their website, or install using a package manager such as choco.

• If on Linux/Mac, run the following:

  sudo apt-get install nodejs

• Or if using Conda, run the following:

  conda install -c conda-forge nodejs

Next, you must install the required jupyter lab extensions

jupyter labextension install @jupyter-widgets/jupyterlab-manager ipycanvas ipyevents

Now, either clone the repo and install a development version, or install the up-to-date version from PyPI

# Cloning and installing this repo
git clone [email protected]:Schulich-Ignite/spark.git
pip install -e spark

# Or, install latest version from PyPI
pip install --upgrade schulich-ignite

Finally, you can open JupyterLab and navigate to the test folder, and run any of the ipynb files.