How to build stunning Data Science Web applications in Python

This workshop presents Taipy, a new low-code Python package that allows you to create complete Data Science applications, including graphical visualization and managing algorithms, pipelines, and scenarios. It is composed of two main independent components: Taipy Core and Taipy GUI. In this workshop, participants will learn how to use Taipy Core to create scenarios, use models, retrieve metrics easily, and version control their application configuration. They will also learn how to use Taipy GUI to create an interactive and powerful user interface in a few lines of code. Taipy Studio, a brand-new pipeline graphical editor inside VS Code, will also be used to facilitate the creation of scenarios and pipelines. These tools will be used to build a complete interactive AI application where the end user can explore data and execute pipelines (make predictions) from within the application. With Taipy, the Python developer can transform simple pilots into production-ready end-user applications. Taipy GUI goes way beyond the capabilities of standard graphical stacks like Gradio, Streamlit, and Dash. Similarly, Taipy Core is simpler yet more powerful than the standard Python back-end stack.