Rate this book

A Beginner’s Guide to Streamlit for Data Science: Book 1 : Foundations

Name: A Beginner’s Guide to Streamlit for Data Science: Book 1 : Foundations
Rating: 5 (1 reviews)

Partha Mishra

Rate this book

Unlock the power of Streamlit with this comprehensive guide designed for beginners and Python enthusiasts alike. Whether you're diving into data science or simply looking to enhance your coding skills, this hands-on approach will take you from novice to proficient user in no time.

With clear explanations and practical examples, each chapter introduces key concepts of Streamlit programming, immediately followed by illustrative code snippets that bring the lessons to life. No prior experience with Streamlit is necessary—just a basic understanding of Python and access to your system.

From setting up your environment to creating dynamic applications, you'll journey through essential topics including text and data display, interactive plots, user input integration, media handling, layout arrangement, and status animations. Each chapter is carefully crafted to build upon the last, ensuring even absolute beginners can follow along seamlessly.

By the end of this book, you'll emerge with a solid grasp of Streamlit's capabilities and the confidence to apply your newfound skills in real-world scenarios. Whether you're a data science enthusiast or a coding hobbyist, this guide is your gateway to creating dynamic, professional-grade applications with ease.

Topics

- Introduction to Streamlit
- Installing and Setting Up Streamlit
- Coding Your First Application in Streamlit
- Displaying Text in Streamlit
- Visualizing Data in Streamlit
- Creating Interactive Plots in Streamlit
- Integrating User Input in Streamlit Applications
- Handling Media Content in Streamlit
- Crafting Layouts in Streamlit
- Adding Status Animations to Streamlit Applications

Take the next step in your coding journey and unlock the potential of Streamlit today!

141 pages, Kindle Edition

Published September 3, 2023