Web App Development and Real-Time Web Analytics with Python
eBook - ePub

Web App Development and Real-Time Web Analytics with Python

Develop and Integrate Machine Learning Algorithms into Web Apps

  1. English
  2. ePUB (mobile friendly)
  3. Only available on web
eBook - ePub

Web App Development and Real-Time Web Analytics with Python

Develop and Integrate Machine Learning Algorithms into Web Apps

Book details
Table of contents
Citations

About This Book

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.

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Information

Publisher
Apress
Year
2021
ISBN
9781484277836
Topic
Mathematics
Subtopic
Probability & Statistics
Index
Mathematics

Table of contents

  1. Cover
  2. Front Matter
  3. 1. Tabulating Data and Constructing Static 2D and 3D Charts
  4. 2. Interactive Tabulation and Charting
  5. 3. Containing Functionality and Styling for Interactive Charts
  6. 4. Essentials of HTML
  7. 5. Python Web Frameworks and Apps
  8. 6. Dash Bootstrap Components
  9. 7. Styling and Theming a Web App
  10. 8. Building a Real-Time Web App
  11. 9. Basic Web App Authentication
  12. 10. Dash into a Full Website
  13. 11. Integrating a Machine Learning Algorithm into a Web App
  14. 12. Deploying a Web App on the Cloud
  15. Back Matter