國立虎尾科技大學 |

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

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Web App Development and Real-Time Web Analytics with Python/ by Tshepo Chris Nokeri.
其他題名:	Develop and Integrate Machine Learning Algorithms into Web Apps /
作者:	Nokeri, Tshepo Chris.
面頁冊數:	XV, 226 p. 105 illus.online resource. :
Contained By:	Springer Nature eBook
標題:	Artificial Intelligence. -
電子資源:	https://doi.org/10.1007/978-1-4842-7783-6
ISBN:	9781484277836

Web App Development and Real-Time Web Analytics with Python = Develop and Integrate Machine Learning Algorithms into Web Apps /
Nokeri, Tshepo Chris.

Web App Development and Real-Time Web Analytics with PythonDevelop and Integrate Machine Learning Algorithms into Web Apps /[electronic resource] :by Tshepo Chris Nokeri. - 1st ed. 2022. - XV, 226 p. 105 illus.online resource.

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, 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. 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.

ISBN: 9781484277836

Standard No.: 10.1007/978-1-4842-7783-6doiSubjects--Topical Terms:

646849
Artificial Intelligence.

LC Class. No.: Q325.5-.7

Dewey Class. No.: 006.31

Web App Development and Real-Time Web Analytics with Python = Develop and Integrate Machine Learning Algorithms into Web Apps /
LDR:03734nam a22003975i 4500 001 1093388
003 DE-He213
005 20220512133619.0
007 cr nn 008mamaa
008 221228s2022 xxu| s |||| 0|eng d
020 $a 9781484277836 $9 978-1-4842-7783-6
024 7 $a 10.1007/978-1-4842-7783-6 $2 doi
035 $a 978-1-4842-7783-6
050 4 $a Q325.5-.7
072 7 $a UYQM $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQM $2 thema
082 0 4 $a 006.31 $2 23
100 1 $a Nokeri, Tshepo Chris. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1350730
245 1 0 $a Web App Development and Real-Time Web Analytics with Python $h [electronic resource] : $b Develop and Integrate Machine Learning Algorithms into Web Apps / $c by Tshepo Chris Nokeri.
250 $a 1st ed. 2022.
264 1 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2022.
300 $a XV, 226 p. 105 illus. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
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, 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. 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.
650 2 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Web Development. $3 1114136
650 2 4 $a Python. $3 1115944
650 1 4 $a Machine Learning. $3 1137723
650 0 $a Artificial intelligence. $3 559380
650 0 $a Internet programming. $3 565353
650 0 $a Python (Computer program language). $3 1127623
650 0 $a Machine learning. $3 561253
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9781484277829
776 0 8 $i Printed edition: $z 9781484277843
776 0 8 $i Printed edition: $z 9781484285213
856 4 0 $u https://doi.org/10.1007/978-1-4842-7783-6
912 $a ZDB-2-CWD
912 $a ZDB-2-SXPC
950 $a Professional and Applied Computing (SpringerNature-12059)
950 $a Professional and Applied Computing (R0) (SpringerNature-43716)