A vanilla HTML, JS, Python Data Visualization Tutorial
Bored of Streamlit and want to create your first interactive JS chart + Python API Fullstack web app?
In this video, I'll guide you through running Pico.css, echarts.js/pyecharts and FastAPI to build your first vanilla JS frontend to Python API backend, no external JS tools nor frameworks involved (no node.js, no react etc...).
By the end of this video, you'll have an idea of how vanilla full stack JS/Python apps work and will be ready for the next step on your Streamlit to fullstack data analyst journey, from bundling JS/CSS librairies with Vite, to adding other libraries like aggrid and using your first JS framework like React or Vue.
00:00 Intro
00:30 HTML
02:07 CSS
04:02 Flexbox
05:30 JS
07:11 Python
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