Building Data Visualisations in Python in Minutes

This presentation was recorded at GOTO Copenhagen 2025. https://gotocph.com Kris Jenkins - Lifelong Computer Geek and Podcast Host @krisajenkins RESOURCES https://bsky.app/profile/krisajenkins.bsky.social https://twitter.com/krisajenkins https://www.linkedin.com/in/krisjenkins https://github.com/krisajenkins http://blog.jenkster.com ABSTRACT The backend has all the data. It has access to all the databases, the flat files and the remote storage APIs. But if you want to look at that data, it feels like you’re forced to build yet another REST API and hire a React expert. No more! Streamlit has you covered. Streamlit’s a simple Python framework that makes it incredibly easy to take Python’s data-processing capabilities and build clean, professional visualisations in minutes. In this live-coding session we’ll start completely from scratch and explore the core parts of Streamlit’s API, learn a little Pandas along the way, and see how a backend developer or data scientist can actually look at their data faster than you can say, “JSON encoding”. […] TIMECODES 00:00 Intro 02:40 Live Demo 32:15 Outro Read the full abstract here: https://gotocph.com/2025/sessions/3936