Kochakadan A. Build Python Web Apps with Streamlit...(MEAP v8) 2025 torrent

Textbook in PDF format

Build amazing web apps with Streamlit and Python!
The Streamlit framework empowers Python developers to build web applications quickly without writing a single line of HTML, CSS, or JavaScript. Build Python Web Apps with Streamlit lays out everything you need to quickly transform your app ideas into fully-fledged web applications using nothing but Python and your imagination.
Traditionally, you'd have to juggle HTML, CSS, and JavaScript or a framework like React for the frontend while using Python for the backend—a complex and time-consuming process that not everyone has the bandwidth to learn or desire to master. Streamlit bridges this gap beautifully. It's built with the same ease and intuitiveness that makes Python so beloved. What might otherwise take weeks to develop, painstakingly wiring up a frontend and backend written in different technologies, can often be accomplished in hours or sometimes even *minutes* with Streamlit.
Streamlit has been a game-changer for many people, empowering data scientists, analysts, and even semi-technical folks with some Python knowledge to deliver business value quickly. For others such as software engineers, it can be invaluable as a rapid prototyping tool. Wherever you are on the skill spectrum, as long as you have some knowledge of Python, this book will equip you to become a full-fledged application developer, wielding Streamlit in powerful and creative ways.
In Build Python Web Apps with Streamlit you'll learn how to:
Write web apps in pure Python
Prototype ideas into proof-of-concept in minutes
Build awesome front ends for AI apps and data visualizations
Deploy Streamlit apps in a variety of environments
There’s no need to switch stacks just to add a web front-end to a Python application. This easy to use, lightweight toolkit is perfect for putting a friendly UI on an AI model or creating an interactive data dashboard.
Here's what you can expect:
Part 1 covers the basics of Streamlit, immediately arming you to be effective with Streamlit. Even if you only complete this part, this book will leave you in a position to start creating full-fledged apps.
Part 2 deepens your experience, guiding you through building several complex applications.
Part 3 dives into large language models (LLMs) and AI applications, a niche where Streamlit truly shines.
Part 4 focuses on all of the operational aspects surrounding Streamlit, like deployment to various environments and testing.
Part 5 delves into advanced development, including how to extend Streamlit with your own custom components