Web App Development and Real-Time Web Analytics with Python: Develop and Integrate Machine Learning Algorithms into Web Apps

Nokeri, Tshepo Chris

商品描述

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 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.

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.

商品描述(中文翻譯)

學習使用Python程式語言開發和部署儀表板作為Web應用程序,以及如何將算法集成到Web應用程序中。

作者Tshepo Chris Nokeri首先介紹了構建和設計靜態和互動圖表和表格的基礎知識,然後探索了HTML、CSS和Bootstrap的基礎知識,包括使用HTML構建Web頁面的方法。從那裡,他將向您展示使用Python的關鍵Web框架和構建Web應用程序的技術。然後,您將學習如何設計Web應用程序並集成主題,包括互動圖表和表格以構建儀表板,然後演示如何創建URL路由和保護Web應用程序。接下來,您將進一步學習更高級的主題,例如構建機器學習算法並將其集成到Web應用程序中。本書最後演示了如何在常見的雲平台上部署Web應用程序。

《使用Python進行Web應用程序開發和實時Web分析》適合中級數據科學家、機器學習工程師和Web開發人員,他們對實現引導技術的Web應用程序幾乎沒有或沒有任何知識。完成本書後,您將具備創造組織附加價值所需的知識,因為您將了解如何將前端和後端開發相關聯,包括機器學習。

您將學到什麼:

- 創建互動圖形並將靜態圖形渲染為互動圖形
- 了解HTML、CSS和Bootstrap的基本知識
- 了解關鍵的Python Web框架,以及如何使用它們開發Web應用程序
- 開發機器學習算法並將其集成到Web應用程序中
- 保護Web應用程序並將其部署到雲平台

本書適合對中級數據科學家、機器學習工程師和Web開發人員。

作者簡介

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.

作者簡介(中文翻譯)

Tshepo Chris Nokeri運用大數據、高級分析和人工智慧來促進創新和優化業務績效。在他的職業生涯中,他為礦業、石油和製造業公司提供了複雜的解決方案。他最初完成了信息管理學士學位,然後在Witwatersrand大學以TATA傑出獎學金和Wits研究生優秀獎學金的支持下獲得了商業科學榮譽學位。他還獲得了牛津大學出版社獎。他還撰寫了Apress出版的書籍《數據科學揭示》和《金融機器學習實踐》。