ArcGIS Pro

Introducing ArcGIS Notebooks in ArcGIS Pro

In ArcGIS Pro 2.5 you can create, edit, and save Jupyter notebooks as part of your ArcGIS Pro project with ArcGIS Notebooks, Esri’s Jupyter notebook environment. You have the option to create a notebook as part of the ArcGIS Pro project and edit the notebook using the Jupyter interface, that now comes included in all editions of ArcGIS Pro 2.5. The notebooks you create in ArcGIS Pro will leverage the ArcGIS Pro Python environment which you can customize through the Python Package Manager, the Python Command Prompt, or through Anaconda.

Why use ArcGIS Notebooks?

Getting started with ArcGIS Notebooks in Pro

In ArcGIS Pro 2.5, you can create or add a notebook to your project by going to Insert > New Notebook. Here you will name your new notebook or add an existing .ipynb file to the project.

Once you’ve added the notebook you can open it using the Catalog pane.

The integration of ArcGIS Notebooks enables you to easily switch between the intuitive GUI of ArcGIS Pro with the scripting and annotated interface of a Jupyter notebook – making for a complete data science workstation.

How do you get access to ArcGIS Notebooks in ArcGIS Pro?

It’s simple. Just install or upgrade to ArcGIS Pro 2.5 (Basic, Standard or Advanced). There is no additional installer, license or app that needs to be purchased.

Visit our page to learn more and  let us know your feedback on GeoNet and Twitter.

We can’t wait for you to kick-start your spatial data science journey with us!

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About the authors

Lipika is the product marketing lead for Esri's suite of spatial data science products including ArcGIS Notebooks, the ArcGIS Python Libraries, R-ArcGIS Bridge and GeoAnalytics. Prior to Esri, Lipika was a geospatial business analyst and marketing manager at a Fortune 500 brand, using spatial science to tell data-backed stories and make informed business decisions.

Shannon is the lead product manager for Analytics and Data Science at Esri, and covers Esri products related to Python, R, big data, machine learning and AI, and analytics. She loves a good cup of coffee and before coming to Esri Shannon was a GIS Analyst.

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