The recording of my June talk at the SF Python Meetup (“A Streamlit App to Explore how America Changed During Covid”) is now online!
I hope that you take a few minutes to watch the talk, play with the app, and provide feedback.
While I didn’t mention it in my talk, this project was important to me because it was my first project in Python. After a decade of programming almost exclusively in R, last year I accepted that Python is becoming the de facto language for data analysis and set a goal of knowing it as well as I know R. I’m not there yet, but I do view this project as a milestone on that journey.
Because it was my first Python project, I have a lot of people to thank:
- James Abel (co-organizer of the SF Python Meetup) helped me find an angle to the project that would interest this group.
- All the folks who work in Developer Relations at Streamlit. They created lots of training materials, a welcoming community, meetups and were generally very helpful.
- Kyle Walker, who has created popular R packages for working with Census data, pointed me towards the censusdis package when I first mentioned the idea of doing a Census-related project in Python.
- Darren Vengroff for both creating the censusdis package and answering all my questions during development.
- Ramnath Vaidyanathan for providing some code reviews early on, and advice on how to architect the app.
- Reuven Lerner for creating courses on introductory Python and Pandas. Those courses wound up being a prerequisite for this project.
