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Interactive Dashboards and Data Apps with Plotly and Dash

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

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Product type Paperback
Published in May 2021
Publisher Packt
ISBN-13 9781800568914
Length 364 pages
Edition 1st Edition
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Author (1):
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Elias Dabbas Elias Dabbas
Author Profile Icon Elias Dabbas
Elias Dabbas
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Table of Contents (18) Chapters Close

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

Running the app on the server

What we will do in this section is exactly what we did back in Chapter 1, Overview of the Dash Ecosystem. We will clone the code and data repository from GitHub and get them to the server, install the dependencies, and try to run the app.

You typically have Python already installed on such servers, but it's always good to check and know how to get it, in case you don't. An easy way to check if we have it installed, and to get the version in one go, is to run python --version from the command line. Keep in mind that the python command can be interpreted to mean Python 2. The upgrade to Python 3 took a while to get fully implemented, and so, during that time, to differentiate between the two versions the python3 command was used, to be explicit about wanting to run Python version 3. This applies to the pip command, which can also be run as pip3.

When I ran python3 --version, I got version 3.8.6. By the time you read this, the default version...

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