Data Engineering: The Code & Supply Compensation Survey Report

Creating a 100+ page scientific report with Python, Jupyter notebooks, pandas, Polars, Plotly, pandoc, and more

Please join PyData Pittsburgh for the talk Data Engineering: The Code & Supply Compensation Survey Report from Colin Dean, managing director of Code & Supply Co.!

About the talk

Code & Supply invested in building a data analysis and document authorship pipeline to produce its latest Compensation Survey Report. Building on its experience in previous iterations, C&S used Python, Jupyter notebooks, pandas, Polars, Plotly, pandoc, and many other tools to analyze responses from more than 800 people and produce a more than 100 page report. In this presentation, Colin Dean will discuss the survey and analysis effort, which can serve as an example of how to get started doing data science, building consistent data visualizations, and collaborating on a large scientific paper.

About the speaker

Colin Dean is a software engineer, community builder, and non-profit leader. He's built software for IBM Watson, Target, Vivísimo, and Arcadia.io, plus some open source software used by most Mac-using developers. He's served on boards of five non-profits, founding two, and advising other non-profits on leadership and technical topics. He spends most of his time directing Code & Supply, Pittsburgh's largest community of software professionals, and its Meetups, conferences, and coworking space, and otherwise loves cuddling with his dogs, cat, and partner.