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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

Setting up and running the app with a WSGI

We have run our app using the python app.py command from the command line. Alternatively, we used the app.run_server method when running with jupyter_dash. We are going to do it now with Gunicorn, our WSGI server.

The command is slightly different from the previous one and is run with the following pattern:

gunicorn <app_module_name:server_name>

We have two main differences here. First, we only use the module name, or the filename without the .py extension. Then, we add a colon, and then the server name. This is a simple variable that we have to define, and it can be done with one line of code, right after we define our top-level app variable, as follows:

app = dash.Dash(__name__)
server = app.server

Now that we have defined our sever as server, and assuming our app is in a file called app.py, we can run the app from the command line, as follows:

gunicorn app:server

That's it for the WSGI server!

Once that...

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