This talk educates the audience on how to create end-to-end data products using the Python data ecosystem, from data integration to reporting, dashboards, apps, and surfacing insights.
After analyzing the features found in popular proprietary analytics products across various verticals, this talk will demonstrate how data teams can use open-source libraries to create and deploy applications which are accessible to non-technical end users but hold distinct advantages over proprietary alternatives.