The author highlights several Python packages that have been used to build web-based interfaces, such as Plotly Dash and Streamlit. They also introduce Taipy as an alternative API created by the Taipy R&D team. The author emphasizes the use of Markdown, a widely-used markup language, to generate high-quality HTML pages. They explain how the Taipy team extended Markdown’s syntax to allow the inclusion of tags that trigger the creation of graphical interface elements. The author references Dr. Neil Bruce’s work and Mirovic’s article on dynamic data-driven user interfaces. They describe how programmers can connect graphical components to application data using Taipy’s augmented Markdown syntax. The author discusses the advantages of the approach, such as not requiring developers to learn new tools and providing flexibility in interface design. They also mention the use of a client-server architecture and the transformation of Python data types into Markdown-like representations. Various challenges and solutions related to data transformation, interface design, communication protocols, user actions, and data transmission are described. Finally, the author provides a sample code showcasing the use of Taipy’s augmented Markdown syntax.
https://www.taipy.io/posts/augmenting-the-markdown-language-for-great-python-graphical-interfaces