This chapter covered the following topics. First, we introduced the CARTOframes Python library and discussed how it relates to other parts of the CARTO stack, such as CARTO Builder and CARTO Data Observatory. Next, we explained how to install the CARTOframes library, what other Python packages it depends on, and where to look for documentation. Because CARTOframes uses data from CARTO Builder, we explained how to set up a CARTO Builder account. In the example scripts that make up the rest of the chapter, we saw how the library integrates pandas dataframes, how to work with tables, and how to make maps and combine them with other geospatial libraries, such as Shapely and GeoPandas.
In the next chapter, we will cover another module that utilizes Jupyter Notebooks and cartographic visualizations, MapboxGL—Jupyter.
