Web app development and real-time web analytics with Python :
Other Title Information
develop and integrate machine learning algorithms into web apps /
First Statement of Responsibility
Tshepo Chris Nokeri.
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
New York, NY :
Name of Publisher, Distributor, etc.
Apress,
Date of Publication, Distribution, etc.
[2022]
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
226p.
GENERAL NOTES
Text of Note
Includes index.
NOTES PERTAINING TO BINDING AND AVAILABILITY
Text of Note
Available to OhioLINK libraries.
CONTENTS NOTE
Text of Note
Chapter 1: Tabulating Data and Constructing Static 2D and 3D Charts -- Chapter 2: Interactive Tabulation and Charting -- Chapter 3: Creating Functionality and Styling for Interactive Charts -- Chapter 4: Essentials of HTML -- Chapter 5: Python Web Frameworks and Apps -- Chapter 6: Dash Bootstrap Components -- Chapter 7: Styling and Theming a Web App -- Chapter 8: Building a Real-Time Web App -- Chapter 9: Basic Web App Authentication -- Chapter 10: Dash Into a Full Website -- Chapter 11: Integrating a Machine Learning Algorithm into a Web App -- Chapter 12: Deploying a Web App on the Cloud.
0
SUMMARY OR ABSTRACT
Text of Note
Learn to develop and deploy dashboards as web apps using the Python programming language, and how to integrate algorithms into web apps. Author Tshepo Chris Nokeri begins by introducing you to the basics of constructing and styling static and interactive charts and tables before exploring the basics of HTML, CSS, and Bootstrap, including an approach to building web pages with HTML. From there, hell show you the key Python web frameworks and techniques for building web apps with them. Youll then see how to style web apps and incorporate themes, including interactive charts and tables to build dashboards, followed by a walkthrough of creating URL routes and securing web apps. Youll then progress to more advanced topics, like building machine learning algorithms and integrating them into a web app. The book concludes with a demonstration of how to deploy web apps in prevalent cloud platforms. Web App Development and Real-Time Web Analytics with Python is ideal for intermediate data scientists, machine learning engineers, and web developers, who have little or no knowledge about building web apps that implement bootstrap technologies. After completing this book, you will have the knowledge necessary to create added value for your organization, as you will understand how to link front-end and back-end development, including machine learning. You will: Create interactive graphs and render static graphs into interactive ones Understand the essentials of HTML, CSS, and Bootstrap Gain insight into the key Python web frameworks, and how to develop web applications using them Develop machine learning algorithms and integrate them into web apps Secure web apps and deploy them to cloud platforms.
ACQUISITION INFORMATION NOTE
Source for Acquisition/Subscription Address
O'Reilly Media
Stock Number
9781484277836
OTHER EDITION IN ANOTHER MEDIUM
International Standard Book Number
9781484277829
Bibliographic Record Identifier
(OCoLC)1267383987.
TOPICAL NAME USED AS SUBJECT
Entry Element
Web site development.
Entry Element
Application software
Entry Element
Python (Computer program language)
Entry Element
Web usage mining.
Topical Subdivision
Development.
(SUBJECT CATEGORY (Provisional
Subject Category Subdivision Code
COM004000
System Code
bisacsh
DEWEY DECIMAL CLASSIFICATION
Number
006
.
7/6
Edition
23
LIBRARY OF CONGRESS CLASSIFICATION
Class number
TK5105
.
888
Book number
.
N65
2022
PERSONAL NAME - PRIMARY RESPONSIBILITY
Entry Element
Nokeri, Tshepo Chris,
CORPORATE BODY NAME - SECONDARY RESPONSIBILITY
Entry Element
Ohio Library and Information Network.
ORIGINATING SOURCE
Agency
کتابخانه مرکزی و مرکز اطلاع رسانی دانشگاه
Date of Transaction
20231009213021.0
Cataloguing Rules (Descriptive Conventions))
rda
ELECTRONIC LOCATION AND ACCESS
Date and Hour of Consultation and Access
Web App Development and Real-Time Web Analytics with Python_ Develop and Integrate Machine Learning Algorithms into Web Apps-Apress (2021).pdf