Web app development and real-time web analytics with Python : develop and integrate machine learning algorithms into web apps / Tshepo Chris Nokeri.
Nokeri, Tshepo Chris, author.
2022
TK5105.888 .N65 2022
Available Online

Linked e-resources

Linked Resource Online Access
Concurrent users Unlimited
Authorized users Authorized users
Document Delivery Supplied Can lend chapters, not whole ebooks

Details

Title Web app development and real-time web analytics with Python : develop and integrate machine learning algorithms into web apps / Tshepo Chris Nokeri.
Author Nokeri, Tshepo Chris, author.
ISBN 148427783X (electronic book)
9781484277836 (electronic bk.)
1484277821
9781484277829
DOI https://doi.org/10.1007/978-1-4842-7783-6
Published New York, NY : Apress, [2022]
Language English
Description 1 online resource
Other Standard Identifiers 10.1007/978-1-4842-7783-6 doi
Call Number TK5105.888 .N65 2022
Dewey Decimal Classification 006.7/6
Summary 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.
Note Includes index.
Access Note Access limited to authorized users.
Source of Description Online resource; title from digital title page (viewed on December 21, 2021).
Available in Other Form Web app development and real-time web analytics with Python.
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
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.

Browse Subjects

Show more subjects...

Statistics

from
to
Export