This chapter introduced the brand new ArcGIS API for Python, which is built on Python 3.5. You learned how to make use of the API, Jupyter Notebooks, and data processing with data stored in the cloud-based ArcGIS Online system. We covered how the API is organized into different modules, how to install the API, how to use the map widget, how to log in to ArcGIS Online using different user accounts, and working with vector and raster data. Using some of the API modules, we learned how to use the API for Python to perform basic geospatial analysis and to create ArcGIS Online web maps.

The next chapter will introduce Python tools for interacting with cloud-based data for search and fast data processing. In particular, it focuses on the use of Elasticsearch and MapD GPU databases, both of which are based on the AWS cloud infrastructure. The reader will learn to create cloud services for geospatial search, geolocated data processing, geolocated data, and learn how to use Python libraries to interact with these services.