You're reading from Interactive Dashboards and Data Apps with Plotly and Dash

Product typeBook

Published inMay 2021

Reading LevelBeginner

PublisherPackt

ISBN-139781800568914

Edition1st Edition

Languages

Python

Tools

Plotly

Concepts

Data Visualization

Author (1)

Elias Dabbas

Technical requirements

We now need a Linux server connected to the internet, the data files, and our app's code. We will be installing Gunicorn (Green Unicorn, the WSGI) and nginx (the web server), as well as our app's Python packages as dependencies. We will install Dash and its main packages, Dash Bootstrap Components, pandas, and sklearn. An account on a source code management system such as Git will be needed, and we will be using GitHub as an example for this chapter.

Our development workflow so far has been to test certain functionality on JupyterLab and run it, and once it is working fine, we incorporate it to our app. This development workflow will not change. We will simply add a few steps and components for deployment after making our changes. So, let's start by establishing the workflow that we will be working with.

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Interactive Dashboards and Data Apps with Plotly and Dash

Published in: May 2021Publisher: PacktISBN-13: 9781800568914

Author (1)

Elias Dabbas

Elias Dabbas is an online marketing and data science practitioner. He produces open-source software for building dashboards, data apps, as well as software for online marketing, with a focus on SEO, SEM, crawling, and text analysis.
Read more about Elias Dabbas

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