Crafting a Dashboard App in Python using Streamlit

In this presentation, @DataProfessor takes us on a journey to create a dashboard app in Python. Briefly, this constitutes the seamless integration of Pandas for data wrangling, NumPy for numerical processing, the array of Matplotlib/Seaborn/Plotly/Altair/ipyvizzu for data visualization and Streamlit as the web framework for weaving together everything into a shareable data app. By the end of the talk, you’ll see how easy it is to incrementally build, customize and craft a dashboard app. In the name of reproducibility, we’re providing the underlying data and codes mentioned in the talk for everyone to dive into and play around with!

This talk was given at the Budapest BI Forum 2023 held during November 20-22.

#streamlit #dashboard

[benrapier]

Excellent as always @DataProfessor and @streamlitofficial, keep 'em coming!

[erramuspe]

great video! Thank for share your knowledge.

[stefanschouteden]

Very cool, thank you. Straight to the point, with a subsequent great end-product!

[shahrizalmuhammadabdillah]

Amazing.... Interested in your tutorial.. big thanks...

[atharvaathalye]

Greate Video! How can we add top 10/bottom 10 filters in streamlit

[aa-xqgy]

what if i want a live visualization like how well a clients crypto curency is doing

[EhsanIrshad]

Thanks from Pakistan... ✨️🇵🇰🇵🇰🇵🇰🇵🇰🇵🇰🇵🇰

[othmanaitmaatallah]

Excellet! But, how can such dashboard be multi-tenant where every tenant can plug his/her own external database to it? Of course there should be no data interference.