Getting Started with Streamlit for Data Science by Tyler Richards

Create, deploy, and test your Python applications, analyses, and models with ease using Streamlit

Key Features:

• Learn how to showcase machine learning models in a Streamlit application effectively and efficiently
• Become an expert Streamlit creator by getting hands-on with complex application creation
• Discover how Streamlit enables you to create and deploy apps effortlessly

Book Description:

Streamlit shortens the development time for the creation of data-focused web applications, allowing data scientists to create web app prototypes using Python in hours instead of days. Getting Started with Streamlit for Data Science takes a hands-on approach to helping you learn the tips and tricks that will have you up and running with Streamlit in no time.

You’ll start with the fundamentals of Streamlit by creating a basic app and gradually build on the foundation by producing high-quality graphics with data visualization and testing machine learning models. As you advance through the chapters, you’ll walk through practical examples of both personal data projects and work-related data-focused web applications, and get to grips with more challenging topics such as using Streamlit Components, beautifying your apps, and quick deployment of your new apps.