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.


Zaccheus has strong experience in development of time series machine learning models which power workforce scheduling systems. He is skilled in data science workflow and solution delivery by developing end-user applications. Zaccheus has designed/modeled AI projects and has big interest in Python's ubiquity in diverse settings to explore fields like computer vision, NLP and bioinformatics. His main objective is discovering untapped potential across wide disciplines as big data becomes increasingly appreciated and available. He received his BSc. (Hons) in Computer Science from Sunway University. His Bachelor Thesis was on “Application of Blockchain to Trust Models for Secure Cognitive Radio Networks”.

Open Data Science




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