This workshop is all about using Great Tables to make beautiful tables for publication and display purposes. We believe that effective tables have these things in common:

1. structuring that aids in the reading of the table
2. well-formatted values, fitting expectations for the field of study
3. styling that reduces time to insight and improves aesthetics

These materials are for you if:

• you have some experience with data analysis in Python
• you often create reporting that involves summarizations of data
• you were often frustrated with making tables for display purposes outside of Python
• you found beautiful-looking tables in the wild and wondered: 'How could I do that?'

Michael Chow, Senior Software Engineer, Posit

Michael is a data scientist and software engineer. He has programmed in Python for well over a decade, and he obtained a PhD in cognitive psychology from Princeton University. His interests include statistical methods, skill acquisition, and human memory.

Richard Iannone, Senior Software Engineer, Posit

Richard is a software engineer and table enthusiast. He's been vigorously working on making display tables easier to create/display in Python. And generally Rich enjoys creating open source packages so that people can great things in their own work.

This work is licensed under a Creative Commons Attribution 4.0 International License.