Complete Streamlit Tutorial from installing to connecting streamlit with Xampp MySQL database in 15M
Welcome to our YouTube tutorial on how to get started with Streamlit on Windows! Streamlit is a powerful Python library that allows you to effortlessly create interactive web applications for data science and visualization. In this step-by-step guide, we'll take you through the entire process of installing Streamlit on a Windows machine, building a sidebar to enhance user experience, and connecting your Streamlit website to a MySQL database hosted on XAMPP.
Database connection code : https://docs.streamlit.io/knowledge-b...
Playlist : • Streamlit Website
🔧 Chapter 1: Streamlit Installation on Windows 🔧
We kick off the tutorial by walking you through the hassle-free installation of Streamlit on your Windows computer. Follow along as we demonstrate the straightforward setup process, ensuring you have Streamlit up and running in no time.
📚 Chapter 2: Introduction to Streamlit Sidebar 📚
A well-designed sidebar can significantly enhance the user interface and overall user experience of your Streamlit app. Learn how to create an interactive and attractive sidebar that enables users to easily navigate through various sections of your web application.
🌐 Chapter 3: Connecting Streamlit to XAMPP MySQL Database 🌐
One of the most crucial aspects of any web application is its data storage. We'll guide you through the process of setting up a MySQL database using XAMPP and then establish a connection between your Streamlit app and the database. You'll be able to perform data retrieval and updates with ease!
🎉 Chapter 4: Additional Tips and Best Practices 🎉
To wrap up the tutorial, we'll provide you with some additional tips and best practices for Streamlit development. Learn how to make your app more visually appealing, ensure optimal performance, and deploy it to share your creations with the world!
Whether you're new to Streamlit or an experienced developer looking to harness its full potential, this video has something for everyone. Join us on this exciting journey of turning your data analysis and visualization projects into interactive web applications that engage your audience like never before.
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