Building Data Visualisations in Python in Minutes
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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".
Transcript
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".
About the speakers
Developer Advocate