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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 configuring the web server

We will be using nginx as our web server in this example. You can now stop the app using Ctrl + C from the command line. Alternatively, you can stop your app using the kill command, which requires you to know the ID of the process that is running your app. This is useful if you log in later and have no idea which processes are running, and want to identify the process responsible for your app.

You can run the ps -A process status command from the command line to get all the currently running processes. You can either scroll to find a process whose name contains gunicorn or add a pipe, and search for that process in the previous command's output, as follows:

ps -A | grep gunicorn

Running the preceding command while the app is running gets us the output you see in the following screenshot:

Figure 12.8 – How to find the process IDs for processes containing a certain text pattern

Figure 12.8 – How to find the process IDs for processes containing a certain text pattern

The process IDs...

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