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Description
Streamlit Essentials is a comprehensive guide aimed at helping you build interactive data applications using Python. With easy-to-use syntax, it allows developers to quickly build visualizations, dashboards, and machine learning models.
This book is a practical guide to building data science applications using the Streamlit framework. It covers everything from installation to advanced topics like ML integration and deployment. With real-world projects and examples, you will learn how to use Streamlit’s widgets, styling, and data visualization tools to create dynamic real-time dashboards, containerize your applications with Docker, securely handle sensitive data, and deploy the applications on leading cloud platforms, all while building practical projects that can be added to enhance your portfolio.
Throughout the book, you will develop the skills needed to turn data insights into interactive visualizations, ensuring your projects are not only functional but also engaging. The focus is hands-on learning, with step-by-step guidance to help you build, optimize, and share your work. By the time you have completed this book, you will be able to confidently deploy applications, showcase your skills through a professional portfolio, and position yourself for success.
Key Features
Learn how to present data insights quickly and clearly using Streamlit for smoother collaboration between business and tech teams.
Master Streamlit’s core and advanced features through hands-on projects like product recommenders.
Build and deploy data applications while exploring over 25 project ideas to enhance your Streamlit skills.
Explore the Gen AI toolkit to speed up your development cycle from ideation to deployment.
What you will learn
Understanding of Streamlit’s capabilities, from its core functionalities to advanced features.
Create engaging and informative visualizations using Streamlit’s extensive library of charts, graphs, and maps.
Develop efficiently using time-saving techniques for rapid prototyping and iterative development.
Optimize app performance with advanced topics like caching, session tracking, and theming.
Create a compelling portfolio to demonstrate your Streamlit proficiency.
Who this book is for
Whether you are a data scientist, analyst, developer, or business professional, this book will provide you with the knowledge and skills needed to build engaging and informative dashboards, visualizations, and ML models.
Table of Contents
Introduction to Streamlit
Getting Started with Streamlit
Exploring Streamlit Widgets
Styling and Layouts in Streamlit
Data Visualization with Streamlit
Streamlit and Machine Learning
Advanced Streamlit Concepts
Deployment of Streamlit Apps
Hands-On Projects: Easy
Hands-On Projects: Intermediate
Hands-On Projects: Advanced
Build and Enhance Your Portfolio
Enhancing Streamlit Development with AI Tools
Appendix A: Streamlit Cheat Sheet
Appendix B: Additional Resources and References
Appendix C: Docker 101: Beginner’s Guide to Containers