Where spatial analysis meets data science
It’s long been believed that Python is solely the domain of developers. But as Wayne, Josh and Ta reveal, there’s a wealth of resources available for anyone to take their coding skills to the next level. Whether you’re a humble GIS user or an old hand at hacking, with ArcGIS Notebooks, you can automate data collection, adjust on-the-fly and easily share between projects – no rebuilding of workflows required.
Take Ta's advice on the best place to start with this this 30-minute lesson for getting comfortable with the concept of Notebooks.
Watch this 2-minute introduction to ArcGIS Notebooks - the collaborative spatial data science workbench for GIS professionals.
Discover sample notebooks and stand-alone Python scripts for every user profile - from power users and developers to content publishers.
Learn the basics needed to work with code, data and the Jupyter Notebook format in JupyterLab for a more flexible and powerful user experience.
Learn how QLD's Department of Environment and Science used Python to automated large-area land classification with machine learning.
Hey GIS, give me a map of recent natural disasters... Leverage NASA's EONET API to collect and visualise curated natural event metadata.
Learn how you can create, edit and save Jupyter Notebooks as part of your ArcGIS Pro project for easier collaboration across GIS and data science teams.
Expand data science and automation capabilities in your organisation using an intuitive environment in the ArcGIS Enterprise portal.
Dr Sullivan is a former NASA astronaut and Administrator of NOAA where she worked to track and map how the earth is evolving and our climates are changing.