E-Books →Beginner's Guide to Streamlit with Python Build Web–Based Data and Machine Learning Applications

Beginner's Guide to Streamlit with Python begins with the basics of Streamlit by demonstrating how to build a basic application and advances to visualization techniques and their features. Next, it covers the various aspects of a typical Streamlit web application, and explains how to manage flow control and status elements. You'll also explore performance optimization techniques necessary for data modules in a Streamlit application. Following this, you'll see how to deploy Streamlit applications on various platforms. The book concludes with a few prototype natural language processing apps with computer vision implemented using Streamlit.
After reading this book, you will understand the concepts, functionalities, and performance of Streamlit, and be able to develop dynamic Streamlit web-based data and machine learning applications of your own.
What You Will LearnHow to start developing web applications using StreamlitWhat are Streamlit's componentsMedia elements in StreamlitHow to visualize data using various interactive and dynamic Python librariesHow to implement models in Streamlit web applications
Who This Book Is ForProfessionals working in data science and machine learning domains who want to showcase and deploy their work in a web application with no prior knowledge of web development.