4/6/2023 0 Comments Snippets definition![]() Or only the code snippet extension: $ conda install -c conda-forge elyra-code-snippet-extension & jupyter lab build Managing and using code snippetsĬode snippets are accessed by opening the code snippets tab on the JupyterLab sidebar: Install all Elyra extensions: $ conda install -c conda-forge elyra & jupyter lab build Or only the code snippet extension: $ pip install elyra-code-snippet-extension & jupyter lab build Installing the extension using conda Install either all Elyra extensions (Visual Pipeline editor, Python editor, etc): $ pip install elyra & jupyter lab build Note that a rebuild of JupyterLab is (still) required but future versions of JupyterLab will hopefully remove the need. Installing the code snippet extensionīy popular demand from the community you can now install the code snippet extension as part of Elyra or individually, using pip or conda. In which notebook did I use the code? Where’s the most current version of the disclaimer I need to add? While maintaining a “scratch pad” might help, native support for reusable code or documentation assets in JupyterLab holds a lot more appeal. For me this typically results in a hectic search. Let’s say you are working on a notebook and want to include a standard header or footer (like licensing text) or some code that you’ve previously created. In this blog post I’ll focus on the Elyra code snippet extension, which makes it possible to reuse arbitrary snippets of code in notebooks, source code or markdown files in JupyterLab. In my previous blog posts Creating notebook pipelines using Elyra and Kubeflow Pipelines and Running notebook pipelines in JupyterLab I’ve introduced Elyra and the Visual Pipeline Editor, which enables you to assemble machine learning pipelines from notebooks and Python scripts without the need for any coding. How to re-use code snippets in JupyterLab ![]()
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