Summary
In this chapter, we explored Streamlit’s main out-of-the-box features and widgets. We started by creating an empty Python file and launching Streamlit, where we saw how to manage its web interface using the “rerun” feature and leverage its real-time updating functionality.
Then, we learned how to deal with text in various ways, in terms of size, colors, and format. We also explored multimedia widgets, such as images, audio, and video.
A lot of elements, such as buttons, checkboxes, radio buttons, and others, were also explained and utilized.
Many different kinds of inputs are supported natively – it’s very easy to input text, numbers, dates, time, and so on. Widgets such as text areas or sliders are also ready to be used out of the box.
As we saw, data plots are extremely easy to create – we can use DataFrames and plot bar, line, or area charts with one line of code. Even heatmaps are a clean and neat option.
Even formatting...
