The rise of data science and scientific programming languages, such as Python and Julia, presents numerous opportunities for power system modernization and advanced analytics. In recent years, the quality and availability of open-source power systems analysis tools in these languages has dramatically increased. However, despite widespread usage of open languages for data analysis, industrial usage of open power systems analysis tools remains rare. The G-PST Consortium’s Pillar 5 lead organization, VTT Technical Research Centre of Finland, present a webinar series that will showcase some of the most capable power systems analysis and modeling tools that exist within common data science languages to highlight opportunities to enable advanced analytic workflows. This first installment focuses on workflows in Python, using the popular data analysis package, Pandas, and the power systems analysis package, PandaPower.