WEB APP DEVELOPMENT AND REAL-TIME WEB ANALYTICS WITH PYTHON : develop and integrate machine... learning algorithms into web apps Tshepo Chris Nokeri (Author)

By:

Nokeri, Tshepo Chris

Material type: Text

TextPublication details: New York, NY Apress 2022ISBN:

9781484277829

Subject(s):

DDC classification:

006.76 NOK

Contents:

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

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.

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Holdings
Item type	Current library	Shelving location	Call number	Copy number	Status	Date due	Barcode
Books	CamTech Library	STEM & Engineering	006.76 NOK (Browse shelf(Opens below))	C.1	Available		0000001585

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Includes index.

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

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.

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