1. Streamlit for Data Science – Second Edition: Create interactive data apps in Python
Written by Tyler Richards, this latest edition is a comprehensive guide that dives into building interactive data applications using Streamlit. It’s perfect for those aiming to enhance their Python skills in data science. The updated examples and in-depth explanations will empower you to create responsive and engaging applications effortlessly. Whether you are a beginner or an experienced developer, this book will elevate your understanding of Streamlit and data apps, making it a must-read.
2. Web App Development Made Simple with Streamlit
In this guide by Rosario Moscato, you will discover effortless strategies for web app development, deployment, and scalability using Streamlit. Designed for web developers, this book simplifies complex ideas into actionable insights, offering clear methodologies to streamline your development process. With practical examples and hands-on exercises, Moscato ensures you can translate theory into practice with immediate effect, making this title a valuable asset to any web developer’s library.
3. Web Application Development with Streamlit
This comprehensive manual co-authored by Mohammad Khorasani, Mohamed Abdou, and Javier Hernández Fernández caters to developers looking to create secure and scalable web applications. The book emphasizes deploying applications to the cloud using Streamlit, along with best practices for security and scalability. This depth of information is particularly valuable for anyone serious about advancing their web app development skills. Dive into this resource to build applications that not only work but excel in performance!
4. Streamlit Essentials
With Surabhi Pandey’s book, you’ll journey from the basics to advanced data app development with Streamlit. It stands out with its clear approach, which guides readers through building real-world applications. The inclusion of both foundational principles and advanced techniques makes it suitable for a wide audience. By the end, readers will be fully equipped to tackle challenges in data app development, making this a necessary pick for your bookshelf.
5. Beginner’s Guide to Streamlit with Python
Sujay Raghavendra offers a straightforward introduction to building web-based data and machine learning applications in this essential guide. Perfect for those new to Streamlit, this book walks you through all the fundamental concepts, ensuring you understand each step of the development process. With clear illustrations and examples, readers will appreciate the practical knowledge gained, making it an excellent resource for beginners eager to jump into the data science field.
6. Web App Development with Streamlit
Frank Wells presents a comprehensive guide focused on creating interactive data dashboards, advanced visualization, and machine learning integration. This book sets itself apart with a focus on user experience and application performance. Each chapter is loaded with practical tips that help you not only create functional apps but also make them visually appealing and intuitive. This title is a must-have for anyone serious about understanding the comprehensive capabilities of Streamlit.
7. The Essential Guide to Streamlit for Beginners
Asankhaya Sharma’s guide is a brilliant starting point for those eager to learn Streamlit. This book encapsulates all the essentials you need to know to get started. By using simple language and clear examples, it demystifies technology for beginners, making it approachable for the uninitiated. If you’re looking to make your first steps in building web apps with Streamlit, this guide is the perfect companion.
8. Streamlit – FOR EVERYTHING!
Deivison Viana Andrade takes a unique approach in discussing how Streamlit can be leveraged for various applications including dashboards, data science, and map plotting. This book is a valuable resource for those who want to see the versatility of Streamlit firsthand. It provides practical examples that cater to a variety of use cases, making it essential reading for developers and data scientists alike.
9. Getting Started with Streamlit for Data Science
Tyler Richards returns with another fantastic resource, focusing on creating and deploying Streamlit web applications from scratch. This book is tailored for those looking to understand the fundamentals of building app architectures. With its straightforward guidance, it enables readers to grasp essential concepts and dive deeper into application development. It’s the perfect go-to for anyone eager to get their hands dirty and start creating.
10. Streamlit UI: Lets learn to build Streamlit UI
In this budget-friendly offering by Code Guru, readers will explore the foundational aspects of building user interfaces with Streamlit. The succinct content makes it ideal for quick learning sessions or getting up to speed with UI development. This title is especially handy for those on a budget yet eager to learn effective UI development practices within Streamlit.
In this blog post, we presented a variety of invaluable resources for anyone interested in mastering Streamlit. From foundational concepts to advanced techniques, these books will enhance your coding skills and allow you to build sophisticated web applications.
