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Data Visualization Interfaces With Dash (Overview)

Darren Jones
Data Visualization Interfaces in Python With Dash Darren Jones 01:07
Recommended Tutorial Course Slides (.pdf) Sample Code (.zip) Ask a Question

In the past, creating analytical web applications was a task for seasoned developers that required knowledge of multiple programming languages and frameworks. That’s no longer the case. Nowadays, you can make data visualization interfaces using pure Python. One popular tool for this is Dash.

Dash gives data scientists the ability to showcase their results in interactive web applications. You don’t need to be an expert in web development. In an afternoon, you can build and deploy a Dash app to share with others.

In this course, you’ll learn how to:

  • Create a Dash application
  • Use Dash core components and HTML components
  • Customize the style of your Dash application
  • Use callbacks to build interactive applications
  • Deploy your application on Heroku
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Sample Code (.zip)

 2.5 MB
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Course Slides (.pdf)

 10.2 MB

00:00 Develop Data Visualization Interfaces in Python With Dash.

00:06 In the past, creating analytical web applications was a task for seasoned developers that required knowledge of multiple programming languages and frameworks.

00:15 That’s no longer the case. Nowadays, you can make data visualization interfaces using pure Python. One popular tool for this is Dash. Dash gives data scientists the ability to showcase their results in interactive web applications.

00:33 You don’t need to be an expert in web development, and in an afternoon, you can build and deploy a Dash app to share with others.

00:41 In this course, you’ll learn how to create a Dash application, use Dash core components and HTML components, customize the style of your Dash application, use callbacks to build interactive applications, and deploy your application on Heroku. So now that you know what you’re covering, let’s get started.

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