Web App Development and Real-Time Web Analytics with Python

1. Front Matter

   Pages i-xv

   PDF

2. Tabulating Data and Constructing Static 2D and 3D Charts

   • Tshepo Chris Nokeri

   Pages 1-19

3. Interactive Tabulation and Charting

   • Tshepo Chris Nokeri

   Pages 21-45

4. Containing Functionality and Styling for Interactive Charts

   • Tshepo Chris Nokeri

   Pages 47-61

5. Essentials of HTML

   • Tshepo Chris Nokeri

   Pages 63-78

6. Python Web Frameworks and Apps

   • Tshepo Chris Nokeri

   Pages 79-85

7. Dash Bootstrap Components

   • Tshepo Chris Nokeri

   Pages 87-97

8. Styling and Theming a Web App

   • Tshepo Chris Nokeri

   Pages 99-109

9. Building a Real-Time Web App

   • Tshepo Chris Nokeri

   Pages 111-144

10. Basic Web App Authentication

    • Tshepo Chris Nokeri

    Pages 145-158

11. Dash into a Full Website

    • Tshepo Chris Nokeri

    Pages 159-188

12. Integrating a Machine Learning Algorithm into a Web App

    • Tshepo Chris Nokeri

    Pages 189-213

13. Deploying a Web App on the Cloud

    • Tshepo Chris Nokeri

    Pages 215-221

14. Back Matter

    Pages 223-226

    PDF

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, he’ll show you the key Python web frameworks and techniques for building web apps with them. You’ll 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. You’ll 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 isideal 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.

What You Will Learn

• 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

Who This Book Is For

Intermediate data scientists, machine learning engineers, and web developers.

• Python
• Web development
• Web Analytics
• Machine Learning
• HTML
• Web Apps
• Web Frameworks
• Flask
• Cascade Styling Sheet
• Real Time Web Application

• Pretoria, South Africa

  Tshepo Chris Nokeri

Tshepo Chris Nokeri harnesses big data, advanced analytics, and artificial intelligence to foster innovation and optimize business performance. In his functional work, he has delivered complex solutions to companies in the mining, petroleum, and manufacturing industries. He initially completed a bachelor’s degree in information management. He then graduated with an honors degree in business science at the University of the Witwatersrand on a TATA prestigious scholarship and a Wits Postgraduate Merit Award. They unanimously awarded him the Oxford University Press Prize. He has authored the Apress book Data Science Revealed and Implementing Machine Learning for Finance.

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