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Bootstrapping Your Transition from Streamlit OSS to Streamlit in Snowflake(SiS)

Get Ready to Build!

Ready to transform a simple Streamlit application into an enterprise-grade solution on SiS? In this hands-on tutorial, you'll explore Streamlit's versatility while building an interactive data application. Using a Machine Learning example, you'll discover how easily Streamlit can evolve from your local machine to a fully integrated Snowflake application.

What You'll Build

Your journey will take you through the complete Streamlit development lifecycle. Starting locally, you'll progress to Streamlit OSS cloud deployment, and finally integrate with Snowflake. Get ready to unlock Streamlit's powerful features at each stage!

Note

This tutorial is adapted from https://www.youtube.com/watch?v=LJ6DcLGQ4vY

Your Development Journey

🚀 Start with Streamlit Local Development

  • Create your first interactive web application with Streamlit's components
  • Set up data handling and visualization features
  • Discover Streamlit's intuitive widget system
  • Learn application state management

☁️ Deploy to Streamlit Community Cloud

  • Launch your application to the cloud
  • Master deployment best practices
  • Handle dependencies like a pro

❄️ Connect to Snowflake

🏢 Go Native with Streamlit in Snowflake

  • Deploy directly in Snowflake
  • Adapt your code seamlessly
  • Leverage enterprise-grade security

📓 Explore Snowflake Notebooks

  • Rebuild your app in a new environment
  • Combine notebook analytics with Streamlit
  • Discover alternative development approaches

What You'll Achieve

Watch your Streamlit application evolve:

  • Going from local development to cloud deployment
  • Connect to Snowflake’s data platform
  • Deploy natively within Snowflake with minimal code changes

Your Learning Goals

By the end of this tutorial, you'll:

🎯 Command Streamlit's core features

🚀 Master multiple deployment options

❄️ Integrate seamlessly with Snowflake

🔍 Explore various development environments

⚡ Create production-ready applications

Ready to begin? Let's start your journey from local Streamlit development to deploying enterprise-ready applications in Snowflake!

Note: This tutorial uses a Machine Learning example to showcase Streamlit's capabilities, but the skills you'll learn apply to any data application you want to build.