Bộ sách luyện thi ETS 2023 LC&RC
199,000₫
299,000₫
Sách Beginners Guide to Streamlit with Python Build Web-Based Data and Machine Learning Applications (sách keo gáy, bìa mềm)
Categories:Computers - Web Development
Year:2023
Edition:1
Publisher:Apress
Language:english
Pages:215
This book will teach you the basics of Streamlit, a Python-based
application framework used to build interactive dashboards and machine
learning web apps. Streamlit reduces development time for web-based
application prototypes of data and machine learning models. As you’ll
see, Streamlit helps develop data-enhanced analytics, build dynamic user
experiences, and showcases data for data science and machine learning
models.
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 Learn
• How to start developing web applications using Streamlit
• What are Streamlit’s components
• Media elements in Streamlit
• How to visualize data using various interactive and dynamic Python libraries
• How to implement models in Streamlit web applications
Who This Book Is For
Professionals
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.
