You're reading from Interactive Dashboards and Data Apps with Plotly and Dash Harness the power of a fully fledged frontend web framework in Python – no JavaScript required

Product type Paperback

Published in May 2021

Publisher Packt

ISBN-13 9781800568914

Length 364 pages

Edition 1st Edition

Languages

JavaScript

Tools

Dash

Concepts

Data Visualization

Author (1):

Elias Dabbas

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Table of Contents (18) Chapters

Preface

1. Section 1: Building a Dash App

2. Chapter 1: Overview of the Dash Ecosystem FREE CHAPTER

3. Chapter 2: Exploring the Structure of a Dash App

4. Chapter 3: Working with Plotly's Figure Objects

5. Chapter 4: Data Manipulation and Preparation, Paving the Way to Plotly Express

6. Section 2: Adding Functionality to Your App with Real Data

7. Chapter 5: Interactively Comparing Values with Bar Charts and Dropdown Menus

8. Chapter 6: Exploring Variables with Scatter Plots and Filtering Subsets with Sliders

9. Chapter 7: Exploring Map Plots and Enriching Your Dashboards with Markdown

10. Chapter 8: Calculating the Frequency of Your Data with Histograms and Building Interactive Tables

11. Section 3: Taking Your App to the Next Level

12. Chapter 9: Letting Your Data Speak for Itself with Machine Learning

13. Chapter 10: Turbo-charge Your Apps with Advanced Callbacks

14. Chapter 11: URLs and Multi-Page Apps

15. Chapter 12: Deploying Your App

16. Chapter 13: Next Steps

17. Other Books You May Enjoy

Managing maintenance and updates

Several things will probably need to be managed and handled after publishing your app, and we cover a few of them.

Fixing bugs and making changes

This should follow the same workflow we established at the beginning of this chapter. Any changes to our code, whether bug fixes or additions to our functionality, should be done the same way. We edit code locally, make sure it is running correctly, and then push to the central Git repository. Then, from the server, we pull the changes and rerun the app.

Updating Python packages

There are several packages that our app depends on, and you will most likely have even more in your daily work. Those packages will release updates every now and then, and you need to make sure that they are up to date. Some of those updates are security updates and need to be handled as soon as possible, while others introduce new options to packages. In general, you can run pip install --upgrade <package_name> to...