https://github.com/bdunnette/notebooks
https://github.com/bdunnette/notebooks
Last synced: 3 months ago
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- Host: GitHub
- URL: https://github.com/bdunnette/notebooks
- Owner: bdunnette
- Created: 2025-11-12T16:26:15.000Z (7 months ago)
- Default Branch: main
- Last Pushed: 2026-02-19T17:25:35.000Z (4 months ago)
- Last Synced: 2026-02-19T20:48:45.119Z (4 months ago)
- Language: Jupyter Notebook
- Homepage: https://bdunnette.github.io/notebooks/
- Size: 1.47 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Xeus-Lite demo
[](https://jupyterlite.github.io/xeus-lite-demo/notebooks/?path=demo.ipynb)
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:
## 📦 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:
```yml
name: xeus-kernel
channels:
- https://repo.prefix.dev/emscripten-forge-dev
- https://repo.prefix.dev/conda-forge
dependencies:
- xeus-python
- numpy
- matplotlib
```
### Example 2: JupyterLite with R and coursekata
To use the R kernel and the coursekata package, edit the environment.yml file as follows:
```yml
name: xeus-kernel
channels:
- https://repo.prefix.dev/emscripten-forge-dev
- https://repo.prefix.dev/conda-forge
dependencies:
- xeus-r
- r-coursekata
```
### Example 3: JupyterLite with C++
To use the C++ kernel, edit the environment.yml file as follows:
```yml
name: xeus-kernel
channels:
- https://repo.prefix.dev/emscripten-forge-dev
- https://repo.prefix.dev/conda-forge
dependencies:
- xeus-cpp
```
## 📦 How to install other jupyterlite plugins
If you want to install jupyterlite plugins, e.g. `jupyterlite-terminal`, add those plugins to the `.github/build-environment.yml` file.