With source data from a Postgres database
As a Python data engineer for many years, one area I was not very involved in was the production of data dashboards. That all changed when Python-based libraries such as Streamlit, Gradio and Taipy came along.
With their introduction, python programmers had no excuses not to use them to craft nice-looking front-ends and dashboards.
Until then, the only other options were to use specialised tools like Tableau or AWS’s Quicksight or—horror of horrors—get your hands dirty with CSS, HTML, and Javascript.
So, if you’ve never used one of these new Python-based graphical front-end libraries before, this article is for you as I’ll be taking you through how to code up a data dashboard using one of the most popular libraries for this purpose called Streamlit.
My intention is that this will be the first part of a series of articles on developing a data dashboard using three of the most popular Python-based GUI libraries. In addition to this one, I also plan to release articles on Gradio and Taipy, so look out for those. As much as possible I’ll try to replicate the same layout and functionality in each dashboard. I’ll use the exact same data for all three…
