GitHub - jupyterlite/xeus-lite-demo: JupyterLite template repository with xeus kernels and pre-installed packages (original) (raw)

Xeus-Lite demo

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This GitHub template allows you to create deployments of JupyterLite with a custom set of conda packages.

💡 How to make your own deployment

Creating a new deployment can be done in three easy steps:

Step 1: Apply the GitHub template

  1. Click the "Use this template" button in the upper right corner of the GitHub repository.
  2. Choose a name for your project and select the GitHub organization where you want to create it.
  3. Then hit "Create repository from template" to finalize the setup.

Step 2: Enable building the GitHub pages from GitHub actions.

  1. Once your repository is created, enable GitHub Pages by configuring GitHub Actions. This will build and deploy your site automatically.
  2. Your deployment will be accessible at the following URL: https://{USERNAME}.github.io/{DEMO_REPO_NAME}.

Step 3: Customize your conda environment

  1. Update your environment.yml file to include the required packages.
  2. This ensures that your environment has all the necessary dependencies.

🎬 Visual Guide

For a step-by-step visual guide, check out the screencast below:

Deploy your own

📦 How to install kernels and packages

You can install specific kernels and extra packages by adding them to the environment.yml file.

See https://jupyterlite-xeus.readthedocs.io/en/latest/environment.html for more documentation.

Example 1: JupyterLite with NumPy and Matplotlib

To create a JupyterLite deployment with NumPy and Matplotlib pre-installed, edit the environment.yml file as follows:

name: xeus-kernel channels:

Example 2: JupyterLite with R and coursekata

To use the R kernel and the coursekata package, edit the environment.yml file as follows:

name: xeus-kernel channels:

Example 3: JupyterLite with C++

To use the C++ kernel, edit the environment.yml file as follows:

name: xeus-kernel channels: