Getting Started with Streamlit for Data Science
Getting Started with Streamlit for Data Science
About the Book
Book description
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.
By the end of this book, you’ll be able to create dynamic web apps in Streamlit quickly and effortlessly using the power of Python.
What you will learn
- Set up your first development environment and create a basic Streamlit app from scratch
- Explore methods for uploading, downloading, and manipulating data in Streamlit apps
- Create dynamic visualizations in Streamlit using built-in and imported Python libraries
- Discover strategies for creating and deploying machine learning models in Streamlit
- Use Streamlit sharing for one-click deployment
- Beautify Streamlit apps using themes, Streamlit Components, and Streamlit sidebar
- Implement best practices for prototyping your data science work with Streamlit
Who this book is for
This book is for data scientists and machine learning enthusiasts who want to create web apps using Streamlit. Whether you’re a junior data scientist looking to deploy your first machine learning project in Python to improve your resume or a senior data scientist who wants to use Streamlit to make convincing and dynamic data analyses, this book will help you get there! Prior knowledge of Python programming will assist with understanding the concepts covered.

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Author Details

<a href="https://market.tutorialspoint.com/author/tyler_richards">Tyler Richards</a>
Packt are an established, trusted, and innovative global technical learning publisher, founded in Birmingham, UK with over eighteen years experience delivering rich premium content from ground-breaking authors and lecturers on a wide range of emerging and established technologies for professional development.
Packt’s purpose is to help technology professionals advance their knowledge and support the growth of new technologies by publishing vital user focused knowledge-based content faster than any other tech publisher, with a growing library of over 9,000 titles, in book, e-book, audio and video learning formats, our multimedia content is valued as a vital learning tool and offers exceptional support for the development of technology knowledge.
We publish on topics that are at the very cutting edge of technology, helping IT professionals learn about the newest tools and frameworks in a way that suits them.
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