Data Engineering with Spatially Enabled DataFrames and ArcGIS API for Python

Pandas is a data analysis and data engineering library that is very popular in the scientific Python ecosystem. The ArcGIS API for Python adds spatial capabilities to these DataFrames using an elegant accessor model. With these DataFrames, you can not only manipulate your tabular data, but also apply spatial algorithms and tools. This talk takes you from the basics of Pandas / NumPy to the full suite of functions available with SeDF, including visualizing data on a map and persisting the DataFrames as files and web layers. 📚 Resources ============= 📖 Proceedings & slides: https://proceedings.esri.com/library/userconf/devsummit21/index.html Questions? We'd love to answer them on Esri Community! 💬 Community forums: https://community.esri.com/t5/developers/ct-p/developers 👉 Follow us ============= 🐦 Esri on Twitter: https://twitter.com/Esri 👤 Esri on Facebook: https://facebook.com/EsriGIS 📇 Esri on LinkedIn: https://www.linkedin.com/company/esri 📷 Esri on Instagram: https://www.instagram.com/esrigram 🐦 @ArcGISDevs on Twitter: https://twitter.com/arcgisdevs 🐦 @EsriDevEvents on Twitter: https://twitter.com/EsriDevEvents 🐦 @EsriStartups: https://twitter.com/EsriStartups 🔴 Videos at Esri Mediaspace: https://bit.ly/3MXWbqq 🔴 ArcGIS Developers YouTube channel: https://bit.ly/3OnogZH 🐙 GitHub: https://github.com/esri The Science of Where: http://www.esri.com 12502