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Getting Started with Jupyter Notebooks
Getting Started with Jupyter Notebooks

Guide on our Jupyter Notebook integration to help workflow automation.

Charlotte Ward avatar
Written by Charlotte Ward
Updated over a week ago

Jupyter Notebooks directly provide a Python programming environment within your Labstep experiments and protocols. Combined with the Labstep API, they enable the vast potential for automating your workflows and data analysis within the Labstep user interface (UI). In this article, learn how you can build reusable workflows that connect your data and power your research. For more information, check out our webinar on automating your workflow here.

Setting up your first notebook:

To get started with Jupyter Notebooks, make sure you have the feature enabled for your organisation. For more information, contact us via or reach out to your dedicated account manager.

  1. Use the slash command '/' in your entry and start typing "Jupyter".

  2. Select "Jupyter Notebook"

  3. Name your notebook at the top and enter your script in the cells below. You can run your script within the editor and visualise your output below the script.

  4. Execute your script directly in your Labstep experiment or protocol by pressing the blue play button 'β–·' on the right-hand side of the script.

Labstep team tip: When leaving the notebook, ensure your work is saved using the save icon in the top left corner of the editor. If you don't see Jupyter Notebooks appear in your list of interactive elements, you do not have the feature enabled on your account.

Click here to learn how to use the Jupyter Notebooks with the Labstep API.

Still need help?

Contact us here or start a conversation with a member of our team using our in-app chat.

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