Details
Web App Development and Real-Time Web Analytics with Python
Develop and Integrate Machine Learning Algorithms into Web Apps|
56,99 € |
|
| Verlag: | Apress |
| Format: | |
| Veröffentl.: | 05.11.2021 |
| ISBN/EAN: | 9781484277836 |
| Sprache: | englisch |
| Anzahl Seiten: | 226 |
Dieses eBook enthält ein Wasserzeichen.
Beschreibungen
<p>Learn to develop and deploy dashboards as web apps using the Python programming language, and how to integrate algorithms into web apps.</p>
<p>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.</p>
<p><i>Web App Development and Real-Time Web Analytics with Python</i> 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.</p>
<p><b>What You Will Learn</b></p>
<ul> <li>Create interactive graphs and render static graphs into interactive ones</li> <li>Understand the essentials of HTML, CSS, and Bootstrap</li> <li>Gain insight into the key Python web frameworks, and how to develop web applications using them</li> Develop machine learning algorithms and integrate them into web apps <li>Secure web apps and deploy them to cloud platforms</li> </ul> <p><b>Who This Book Is For</b></p>
Intermediate data scientists, machine learning engineers, and web developers.
<p>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.</p>
<p><i>Web App Development and Real-Time Web Analytics with Python</i> 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.</p>
<p><b>What You Will Learn</b></p>
<ul> <li>Create interactive graphs and render static graphs into interactive ones</li> <li>Understand the essentials of HTML, CSS, and Bootstrap</li> <li>Gain insight into the key Python web frameworks, and how to develop web applications using them</li> Develop machine learning algorithms and integrate them into web apps <li>Secure web apps and deploy them to cloud platforms</li> </ul> <p><b>Who This Book Is For</b></p>
Intermediate data scientists, machine learning engineers, and web developers.
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.
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.
<p>Learn to develop and deploy dashboards as web apps using the Python programming language, and how to integrate algorithms into web apps.</p><p>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.</p><p><i>Web App Development and Real-Time Web Analytics with Python</i> 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.</p>You will:<b></b><p></p><ul><li>Create interactive graphs and render static graphs into interactive ones</li><li>Understand the essentials of HTML, CSS, and Bootstrap</li><li>Gain insight into the key Python web frameworks, and how to develop web applications using them</li><li>Develop machine learning algorithms and integrate them into web apps</li><li>Secure web apps and deploy them to cloud platforms</li></ul>
Introduces practices and frameworks for front-end development using Python Covers the essentials of back-end development Explains how to develop and integrate machine learning algorithms
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