HERE Data SDK for Python tutorials and examples

As a companion to this Developer Guide, we encourage you to refer to the collection of tutorial notebooks and examples available. These demonstrate how to leverage the SDK for Python in common usage scenarios.

All notebooks are available to browse and download from GitHub. Alternatively, you can download a .zip file containing the full collection by clicking here and saving the .zip file locally.

Example Name	File	Description	Required HERE Packages	HERE Catalogs Used
Process SDII Data	ProcessSDIIData_platform.ipynb	Read and perform basic exploratory analysis on archived and streaming SDII data	HERE Platform, HERE Geotiles	HERE Sample SDII Messages - Berlin
Process SDII Data Using GeoPandas	ProcessSDIIData_geopandas.ipynb	Read and perform basic exploratory analysis on archived and streaming SDII data using GeoPandas	HERE Geopandas Adapter	HERE Sample SDII Messages - Berlin
Functional Class and Curvature Analysis	FunctionalClassCurvatureAnalysis_hmc.ipynb	Extract, analyze, and visualize data from HERE Map Content layers	HERE Geopandas Adapter, HERE Content, HERE Inspector	HERE Map Content
Explore Inspector Functions (ipyleaflet backend)	ExploreInspector_ipyleaflet.ipynb	Become familiar with Inspector functionality and style options available when used with ipyleaflet-based backend	HERE Geopandas Adapter, HERE Inspector	HERE GeoJSON Samples
Work with Interactive Map Layers	InteractiveMapLayersIntro.ipynb	Demonstrate interaction with Interactive Map layers	HERE Platform, HERE Inspector	None
Convert Notebook to Voila Dashboard	ConvertNotebook_VoilaDashboard.ipynb	Convert notebook to an interactive dashboard using Voila	HERE Platform, HERE Geotiles, HERE Inspector	HERE Map Content, HERE Real Time Traffic
Convert Python Code to Plotly Dash Dashboard	plotlydash_dashboard.py	Convert Python code to an interactive dashboard using Plotly Dash open source version	HERE Geopandas Adapter	HERE Map Content, HERE Real Time Traffic

Note

To execute notebooks, you must use either Jupyter Notebook or JupyterLab.

Using Voilà and Plotly Dash

Voilà is a thin layer built on top of Jupyter Notebooks allowing them to be converted into stand-alone dashboard applications. Refer to the Voila documentation for instructions on installing and using Voilà to convert your notebooks into simple interactive dashboards.
Plotly Dash is a Python framework for building ML and Data Science dashboards and web applications. It offers more sophisticated capabilities than Voilà, including scalability and the option to include JavaScript and HTML. Refer to the Dash documentation for details.