How to Build Stunning Data Science Web Applications in Python – Taipy Tutorial


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
- Taipy GUI.

In this workshop, participants will learn how to use:
- Taipy Core to create scenarios, use models, retrieve metrics easily,
- Taipy GUI to create an interactive and powerful user interface in a few lines of code.

These two components 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 the standard graphical stack: Gradio, Streamlit, Dash, etc.
Similarly, Taipy Core is simpler yet more powerful than the standard Python back-end stack.


Alexandre worked in Amazon Business Intelligence.He developed a graph-based interactive Python editor: Pyflow (1.2k stars!). He is skilled in MLOps, Data Engineering, and Python. He has studied Master of Engineering - CentraleSupélec from University of Paris-Saclay.

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