Creating a Notebook in Jupyter Notebooks

Create a notebook (.ipynb) in JupyterHub to visualize, analyze, and process data.

Before you create a Jupyter notebook, complete the following tasks:
  • Learn about the user interface and structure of a Jupyter notebook.
  • Install Python libraries you want to use to enhance your data analysis and processing. NI recommends using PyPI to obtain packages.
  • Learn about the built-in magic commands the IPython kernel enables.
Complete the following steps to create a Jupyter notebook.
  1. In the SystemLink web application, navigate to Analysis » Scripts.
  2. Click Python 3 (ipykernel).
  3. Use the linked example as a guide to create a notebook that meets your programming needs.
After you create your notebook, you can bind to a dashboard panel and monitor the results. If you need to share your notebook, refer to Sharing a Jupyter Notebook for more information.