Streamlit Tutorial: Build Interactive Python Web Apps Fast!

Learn to Build Interactive Python Web Apps with Streamlit!

Discover how to create stunning and interactive Python web apps in minutes using Streamlit. This beginner-friendly tutorial walks you through every step of the process, from installing Streamlit to building a dynamic dashboard complete with charts, user inputs, and metrics—no prior web development experience needed!

Whether you're a data scientist, AI/ML enthusiast, or Python developer, this video will show you how to unlock the full potential of Streamlit for building data-driven applications, visualization tools, and AI-powered dashboards.

By the end, you'll have a fully functional app and the skills to start creating more innovative projects.

What You'll Learn:
✔️ How to install and set up Streamlit
✔️ Create interactive dashboards and add dynamic elements
✔️ Use a sidebar for better navigation
✔️ Toggle between chart options
✔️ Organize dashboards into sections and expanders
✔️ Tips for optimizing your Streamlit app

👉 Links

▬▬▬▬▬▬▬ Timestamps ⏰ ▬▬▬▬▬▬▬
00:00 - Introduction
00:20 - Installing Streamlit
00:40 - Setting up the Dashboard (App Setup)
02:07 - Adding a Sidebar to the Dashboard
04:16 - Making the Dashboard Dynamic
05:56 - Implementing the Chart Toggle Option
08:32 - Dividing Dashboard into Sections
11:15 - Adding an Expander Section (About Us)
12:53 - Conclusion

▬▬▬▬▬▬ Connect with me 👋 ▬▬▬▬▬▬

[Selenium]

Here the true issue is deploying the app, so everybody can see it! A tutorial on how to do that would be great!