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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

Product type Book
Published in May 2021
Publisher Packt
ISBN-13 9781800568914
Pages 364 pages
Edition 1st Edition
Languages
Author (1):
Elias Dabbas Elias Dabbas
Profile icon Elias Dabbas

Table of Contents (18) Chapters

Preface Section 1: Building a Dash App
Chapter 1: Overview of the Dash Ecosystem Chapter 2: Exploring the Structure of a Dash App Chapter 3: Working with Plotly's Figure Objects Chapter 4: Data Manipulation and Preparation, Paving the Way to Plotly Express Section 2: Adding Functionality to Your App with Real Data
Chapter 5: Interactively Comparing Values with Bar Charts and Dropdown Menus Chapter 6: Exploring Variables with Scatter Plots and Filtering Subsets with Sliders Chapter 7: Exploring Map Plots and Enriching Your Dashboards with Markdown Chapter 8: Calculating the Frequency of Your Data with Histograms and Building Interactive Tables Section 3: Taking Your App to the Next Level
Chapter 9: Letting Your Data Speak for Itself with Machine Learning Chapter 10: Turbo-charge Your Apps with Advanced Callbacks Chapter 11: URLs and Multi-Page Apps Chapter 12: Deploying Your App Chapter 13: Next Steps 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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