Web App Development and Real-Time Web Analytics with Python

Web App Development and Real-Time Web Analytics with Python
Author :
Publisher : Apress
Total Pages : 226
Release :
ISBN-10 : 1484277821
ISBN-13 : 9781484277829
Rating : 4/5 (21 Downloads)

Book Synopsis Web App Development and Real-Time Web Analytics with Python by : Tshepo Chris Nokeri

Download or read book Web App Development and Real-Time Web Analytics with Python written by Tshepo Chris Nokeri and published by Apress. This book was released on 2021-11-20 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


Web App Development and Real-Time Web Analytics with Python Related Books

Web App Development and Real-Time Web Analytics with Python
Language: en
Pages: 226
Authors: Tshepo Chris Nokeri
Categories: Computers
Type: BOOK - Published: 2021-11-20 - Publisher: Apress

DOWNLOAD EBOOK

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 Nok
Network Data Analytics
Language: en
Pages: 406
Authors: K. G. Srinivasa
Categories: Computers
Type: BOOK - Published: 2018-04-26 - Publisher: Springer

DOWNLOAD EBOOK

In order to carry out data analytics, we need powerful and flexible computing software. However the software available for data analytics is often proprietary a
Building the Realtime User Experience
Language: en
Pages: 323
Authors: Ted Roden
Categories: Computers
Type: BOOK - Published: 2010-06-23 - Publisher: "O'Reilly Media, Inc."

DOWNLOAD EBOOK

The Web is increasingly happening in realtime. With websites such as Facebook and Twitter leading the way, users are coming to expect that all sites should serv
Getting Started with Streamlit for Data Science
Language: en
Pages: 282
Authors: Tyler Richards
Categories: Computers
Type: BOOK - Published: 2021-08-20 - Publisher: Packt Publishing Ltd

DOWNLOAD EBOOK

Create, deploy, and test your Python applications, analyses, and models with ease using Streamlit Key Features Learn how to showcase machine learning models in
Real-Time Analytics
Language: en
Pages: 432
Authors: Byron Ellis
Categories: Computers
Type: BOOK - Published: 2014-06-23 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

Construct a robust end-to-end solution for analyzing and visualizing streaming data Real-time analytics is the hottest topic in data analytics today. In Real-Ti