One of the biggest challenges in implementing predictive maintenance solutions is demonstrating their value and return on investment (ROI) to stakeholders. Decision-makers want to know potential risks and gains before committing resources to full-scale implementation. In consequence, this creates a catch-22 scenario…
Language servers are very helpful for writing code. They allow fast completion and immediately show potential issues. They tend, however, to be quite tricky to set up. Especially so, when developing inside container or using custom compiler or cross-compiling. And ESP IDF projects use all three of those. The good news is, it is doable though.
In June, right before vacation season in Poland, inQUBE hosted a thought-provoking breakfast event centered on the increasingly critical topic of work-life balance in startups. As many professionals continue to juggle company growth demands and personal well-being, the event couldn’t have been more timely or relevant. What is inQUBE, and what’s the idea behind the event? InQUBE is a business incubator for startups at the Wroclaw University of Economics.
AngelHack is a global initiative to foster innovation and build developer ecosystems through hackathons, educational programs, and community engagement. Jakub decided to participate as a judge in AngelHack Warsaw. It was a pleasure and an honor to support the event.
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.
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