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.


Florian Jacta is a specialist of Taipy, a low-code open-source Python package enabling any Python developers to easily develop a production-ready AI application. Package pre-sales and after-sales functions. He is data Scientist for Groupe Les Mousquetaires (Intermarche) and ATOS. He developed several Predictive Models as part of strategic AI projects. Also, Florian got his master's degree in Applied Mathematics from INSA, Major in Data Science and Mathematical Optimization.

Open Data Science




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Cambridge, MA 02142

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