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


This course presents Taipy, a new low-code Python package that allows you to create complete Data Science applications, including graphical visualization and the management of algorithms, models, and pipelines.

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 in which 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: Airflow, MLOps, Luigi, etc.


Martin has over 30 years of experience in Data Science, AI, Decision Optimization. He worked as Consulting Project Manager, Technical Sales, Data Scientist with organizations including ILOG, IBM, Manhattan Associates, Emptoris. He has strong modeling skills in constraint programming, mathematical programming, machine learning. He is skilled in C++, Java, Python. Martin's main objective is to help organizations identify and deploy analytics that maximize ROI. He was selected as INFORMS Franz Edelman Award finalist. He has studied M.S. in Operations Research from Massachusetts Institute of Technology.

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