If your dashboard users need to run repetitive tasks using similar settings but on different datasets, it may be beneficial for them to set all the controls once and export the state of the app to a JSON file. Next time they will only load the config file from their machine instead of setting all the controls manually.

Previously, we learned how to create dynamic layouts and retrieve the state from them. Now, we expand the topic with serialization, that is preserving the state of an app using JSON files.

In this chapter, we will continue our adventure with dynamic layouts. We will use the code from the two previous chapters and learn how to retrieve the state of dynamically created components.

Using multiple cards and manipulating them is crucial for creating dynamic layouts in Dash Plotly. We will learn how to add, remove, and change the order of multiple cards utilizing the code from the previous chapter.

This chapter highlights how to create dynamic layouts that enable adding, removing, and modifying components. Make your Dash Plotly projects pretty and practical.

Create a single-screen experience in Dash using the “less is more” principle of Data Visualization. To achieve this, we will use progressive disclosure.

Luckily, Dash provides tools that make a dashboard beautiful almost effortlessly. Learn by example how to use Dash Bootstrap Components’ components and themes to create the layout you want.

With Dash, you can build a dashboard without excessive knowledge of all the web stuff like HTML, CSS, or JS. This tutorial will show you step-by-step how to create the Dash design your project needs.