Streamlit Tutorial - Streamlit Getting Started Tutorial for Beginners | Full Streamlit Tutorial

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Turn Python into Powerful Web Apps with Streamlit (In Minutes!)
Want to create interactive data apps without wrestling with complex frameworks?

This video dives into Streamlit, a Python library that lets you build beautiful web apps with minimal code. We'll take you from installation to creating dynamic apps with:

Streamlit Basics: Installation, Headers, Subheaders, Multimedia (Audio & Video)
Interactive Elements: Buttons, Text Input, Alerts (Warning, Success), and the Balloon Decorator
Keywords: Streamlit, Python, Data Apps, Web Development, Data Visualization, Interactive Dashboards

Perfect for: Data Scientists, Machine Learning Engineers, Analysts, Anyone Who Wants to Share Data Insights

Leave a comment below and tell us what kind of Streamlit apps YOU'LL be building!

WATCH FULL PLAYLIST HERE

1-1. Working with Text Display Part 1

1-2. Working with Text Display Part 2

2. Working with Text Inputs

3. Working with Interactive Widgets of Streamlit

4. Working with Status and Progress Indicators

5. Working with Data Objects

6. Working with Media (Audio, Video and Image) Files

7-1. Working with Plotting Libraries Part 1

7-2. Working with Plotting Libraries Part 2

8. Working with Sidebar and Navigation Bars

9-1. Working with Layouts and Page Configuration Part 1

9-2. Working with Layouts and Page Configuration Part 2

10. Working with Caching and Resource Management

11. Deploy Streamlit Application - Make Image Cartoon and Remove Background

00. Streamlit Crash Course

🔊 Watch till last for a detailed description

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