Web app development and real-time web analytics with Python : develop and integrate machine learning algorithms into web apps
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Format
Language
English
ISBN
148427783X, 9781484277836
UPC
10.1007/978-1-4842-7783-6
Notes
General Note
Includes index.
Description
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.
Local note
O'Reilly,O'Reilly Online Learning: Academic/Public Library Edition
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Citations
APA Citation, 7th Edition (style guide)
Nokeri, T. C. (2022). Web app development and real-time web analytics with Python: develop and integrate machine learning algorithms into web apps . Apress.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Nokeri, Tshepo Chris. 2022. Web App Development and Real-time Web Analytics With Python: Develop and Integrate Machine Learning Algorithms Into Web Apps. New York, NY: Apress.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Nokeri, Tshepo Chris. Web App Development and Real-time Web Analytics With Python: Develop and Integrate Machine Learning Algorithms Into Web Apps New York, NY: Apress, 2022.
Harvard Citation (style guide)Nokeri, T. C. (2022). Web app development and real-time web analytics with python: develop and integrate machine learning algorithms into web apps. New York, NY: Apress.
MLA Citation, 9th Edition (style guide)Nokeri, Tshepo Chris. Web App Development and Real-time Web Analytics With Python: Develop and Integrate Machine Learning Algorithms Into Web Apps Apress, 2022.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.
Staff View
Grouped Work ID
59cf39a1-4126-7f78-8dbf-c33a1aa2a410-eng
Grouping Information
| Grouped Work ID | 59cf39a1-4126-7f78-8dbf-c33a1aa2a410-eng |
|---|---|
| Full title | web app development and real time web analytics with python develop and integrate machine learning algorithms into web apps |
| Author | nokeri tshepo chris |
| Grouping Category | book |
| Last Update | 2025-01-24 12:33:29PM |
| Last Indexed | 2025-02-07 03:13:17AM |
Book Cover Information
| Image Source | contentCafe |
|---|---|
| First Loaded | Aug 15, 2023 |
| Last Used | Jan 14, 2025 |
Marc Record
| First Detected | Mar 20, 2023 10:15:00 AM |
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| Last File Modification Time | Dec 17, 2024 08:18:30 AM |
| Suppressed | Record had no items |
MARC Record
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| 505 | 0 | |a 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. | |
| 520 | |a 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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