Téléchargez le livre : Web App Development and Real-Time Web Analytics with Python

Web App Development and Real-Time Web Analytics with Python

Develop and Integrate Machine Learning Algorithms into Web Apps

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Éditeur :

Apress


Paru le : 2021-11-05



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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, 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 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.
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.
Pages
226 pages
Collection
n.c
Parution
2021-11-05
Marque
Apress
EAN papier
9781484277829
EAN PDF
9781484277836
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
22
Taille du fichier
6820 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
56,19 €
EAN EPUB
9781484277836
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
22
Taille du fichier
6523 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
56,19 €

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