Latest videos
Building Modern Databases with the FDAP Stack
Modern X86 Assembly Language Programming
Beyond Chat: Bringing Models to The Canvas
From Apache Spark to Fighting Health Insurance Denials
The Way the Future Was
Containerization ≠ Modernization: Kick-Start Your True Transformation Journey
The AI Engineer's Guide to Surviving the EU AI Act: Navigating the EU Regulatory Requirements
Gen AI Grows Up: Building Production-Ready Agents on the JVM
Building Software That Survives: Autonomy, Architecture & Alignment at Scale
32:34
Building Data Visualisations in Python in Minutes
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".