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. By Bob Pacheco.
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. Dash is an open-source framework for building data visualization interfaces. Released in 2017 as a Python library, it’s grown to include implementations for R, Julia, and F#. Dash helps data scientists build analytical web applications without requiring advanced web development knowledge.
The article then explains in detail:
- What is Dash?
- Get started with Dash in Python
- Style your Dash application
- Add interactivity to your Dash apps using callbacks
- Deploy your dash Application to PythonAnywhere
You can use Dash to build analytical applications to share with others. As more companies put more weight on the use of data, knowing how to use Dash will increase your impact in the workplace. What used to be a task only experts could perform, you can now do in an afternoon. Excellent read!
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