Beginner's Guide to Streamlit with Python

Dekorationsartikel gehören nicht zum Leistungsumfang.

Sprache: Englisch

40,20 €*

inkl. MwSt.

Versandkostenfrei per Post / DHL

Lieferzeit 2-4 Werktage

Kategorien:

Der Artikel ist nicht in deutscher Sprache verfasst.
Die Sprache der Produktbeschreibung und Details kann in Englisch angegeben sein. Sollten Sie Verständnisprobleme haben, wenden Sie sich gerne an uns.

Beschreibung

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 yoüll 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. Yoüll also explore performance optimization techniques necessary for data modules in a Streamlit application. Following this, yoüll 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.

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.

Über den Autor

Sujay Raghavendra is an IT professional with a Master's Degree in Information Technology. His research interests include machine learning, computer vision, NLP, and deep learning. He has been a consultant for multiple research centers in various universities. He has published many research articles in international journals and is the author of the book "Python Testing with Selenium" published by Apress.

Zusammenfassung

Explains concepts and features of Streamlit for prototyping

Covers implementing various features of different Python libraries for a Streamlit application

Explains how to deploy machine learning models in a Streamlit application

Inhaltsverzeichnis

1. Introduction to Streamlit.- [...] and Chart Elements.- 3.Charts/Visualization.- [...] and Media Elements.- 5. Buttons.- 6. Forms.- 7.Navigaations.- 8.Control Flow and Advanced Features.- 9. NLP Project.- 10. Computer Vision Project.

Details

Erscheinungsjahr:	2022
Genre:	Importe , Informatik
Rubrik:	Naturwissenschaften & Technik
Medium:	Taschenbuch
Inhalt:	xxi 203 S. 24 s/w Illustr. 102 farbige Illustr. 203 p. 126 illus. 102 illus. in color.
ISBN-13:	9781484289822
ISBN-10:	148428982X
Sprache:	Englisch
Einband:	Kartoniert / Broschiert
Autor:	Raghavendra, Sujay
Auflage:	1st edition
Hersteller:	APRESS
Verantwortliche Person für die EU:	APress in Springer Science + Business Media, Heidelberger Platz 3, D-14197 Berlin, juergen.hartmann@springer.com
Maße:	235 x 155 x 13 mm
Von/Mit:	Sujay Raghavendra
Erscheinungsdatum:	17.12.2022
Gewicht:	0,353 kg

Artikel-ID: 125014377