Название: Streamlit Essentials: From basics to advanced data app developmentАвтор: Surabhi Pandey
Издательство: BPB Publications
Год: 2025
Страниц: 298
Язык: английский
Формат: epub (true)
Размер: 13.8 MB
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.
In the modern digital realm, where data has earned its reputation as the new oil, our interaction with this invaluable resource has been rapidly transforming. The journey from traditional spreadsheets to intricate BI tools and now to intuitive data apps showcases the ever-evolving canvas of data interactivity. This is where Streamlit shines brightly. It is an open-source Python library that is reshaping how we build and visualize data applications.
Streamlit empowers data professionals to transform their intricate analyses and models into dynamic web apps by serving as a bridge between data science and app development. Designed with Python enthusiasts in mind, it eliminates the need for exhaustive knowledge of front-end development, making data app creation accessible and straightforward.
The chapters in this book take readers from the fundamentals of Streamlit to advanced techniques. It begins with the basics, covering Introduction to Streamlit and Getting Started with Streamlit, ensuring that the readers understand the platform’s needs and core concepts. As you progress, you will explore the intricacies of Layouts and Widgets and how to integrate data to create visually appealing Data Visualizations. With a focus on real-world applications, you will also learn about Machine Learning Model Deployments.
The later chapters focus on more advanced topics, such as Advanced Streamlit Concepts and Deploying Streamlit Apps, helping you leverage Streamlit’s features like secret management, callbacks, Database connectivity, App testing and streamlining your workflow to make your application production-ready. In addition, hands-on projects in the book will enable you to showcase your skills by building a professional portfolio.
Building and Enhancing your Portfolio will help to use the power of networking and community building to get the most out of Streamlit and create a portfolio that resonates with potential employers and collaborators. Enhancing Streamlit development with AI Tools introduces AI-assisted development tools that can help speed up the process of application building from ideation to deployment.
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.
Contents:
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