The Pandas library for Python streamlines data analysis by making number crunching both fast and intuitive. It excels at handling common “load-calculate-save” workflows with concise, readable code—ideal for everyday data tasks.

In this practical lightning talk, we’ll walk through a beginner-friendly workflow using Python notebooks, designed for rapid experimentation and iteration. Attendees will learn how to:
• Load datasets
• Filter and transform data
• Perform basic calculations
• Export results
— all using Pandas.

To help participants get started quickly, a GitHub repository will be shared containing a minimal working setup. This ready-to-clone configuration will enable attendees to dive into their own analyses with ease.