With the watch command running, every saved change will immediately be built locally and available in your running JupyterLab. # Watch the source directory in one terminal, automatically rebuilding when needed You can watch the source directory and run JupyterLab at the same time in different terminals to watch for changes in the extension's source and automatically rebuild the extension. # Rebuild extension Typescript source after making changes # Link your development version of the extension with JupyterLab # Clone the repo to your local environment # Change directory to the jupyterlab-snippets directory # Install package in development mode The jlpm command is JupyterLab's pinned version of Note: You will need NodeJS to build the extension package. If it is installed, try: jupyter lab clean The frontend, check the frontend extension is installed and enabled: jupyter labextension list If the server extension is installed and enabled but you are not seeing That the server extension is enabled: jupyter serverextension list If you are seeing the frontend extension but it is not working, check Jupyter-boilerplate classic notebook extension (not available for See jupyter-boilerplate-converter on how to convert snippets from the In JupyterLab, use the "Snippets" menu to select the snippet: Convert snippets from jupyter-boilerplate format Directories can be used to organize the snippet files and will become submenu's in the menu. Use the first directory listed under data: to add files to, these become snippets in the menu. This will for example show the following list on macOS: config: To find the Jupyter data directory, run: $ jupyter -path If you use JupyterLab 2.x, you will have to rebuild JupyterLab with: jupyter lab buildĪdd snippets in /snippets (see: ) Using pip: pip install jupyterlab-snippets Using conda: conda install -c conda-forge jupyterlab-snippets This extension is composed of a Python package named jupyterlab-snippetsįor the server extension and a NPM package named jupyterlab-snippets
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