Abstract: 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:
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.
Bio: Albert is skilled in machine learning and big data to solve (financial) optimization problems. He has developed projects of different skill levels for Taipy’s tutorial videos. He has received Bachelor of Science from McGill University with Major in Computer Science & Statistics, and Minor in Finance.
Customer Success Manager | Quantitative Analyst | MSTS