This GitHub template allows you to create deployments of JupyterLite with a custom set of conda packages.
💡 How to make your own deploymentCreating a new deployment can be done in three easy steps:
Step 1: Apply the GitHub template
Step 2: Enable building the GitHub pages from GitHub actions.
Step 3: Customize your conda environment
environment.yml
file to include the required packages.For a step-by-step visual guide, check out the screencast below:
📦 How to install kernels and packagesYou 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 MatplotlibTo create a JupyterLite deployment with NumPy and Matplotlib pre-installed, edit the environment.yml
file as follows:
name: xeus-kernel channels: - https://repo.prefix.dev/emscripten-forge-dev - https://repo.prefix.dev/conda-forge dependencies: - xeus-python - numpy - matplotlibExample 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: - https://repo.prefix.dev/emscripten-forge-dev - https://repo.prefix.dev/conda-forge dependencies: - xeus-r - r-coursekataExample 3: JupyterLite with C++
To use the C++ kernel, edit the environment.yml file as follows:
name: xeus-kernel channels: - https://repo.prefix.dev/emscripten-forge-dev - https://repo.prefix.dev/conda-forge dependencies: - xeus-cpp
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