12-02, 11:35–12:05 (Europe/Amsterdam), Planck
In the Python open-source eco-system, many packages are available that cater to:
- the building of great algorithms
- the visualization of data
- back-end functions
Despite this, over 85% of Data Science Pilots remain pilots and do not make it to the production stage.
With Taipy, Data Scientists/Python Developers will be able to build great pilots as well as stunning production-ready applications for end-users.
Taipy provides two independent modules: Taipy GUI and Taipy Core.
In this talk, we will demonstrate how:
- Taipy GUI goes way beyond the capabilities of the standard graphical stack: Streamlit, Dash, etc.
- Taipy Core is simpler yet more powerful than the standard Python back-end stack: Airflow, MLFlow, etc.
Initially, we will present how a complete graphical interface can be programmed using Taipy GUI's low code syntax (in Python).
We will then introduce Taipy Core's main concepts: pipelines, scenarios, data nodes, tasks, caching, etc. We will create pipelines graphically from Python IDEs and submit these pipelines for execution. These pipelines will then be "scenario enabled" to provide powerful what-if analysis for Data Scientists or End-Users.
Finally, complete Python applications integrating Taipy Core and Taipy GUI will be demonstrated.
No previous knowledge expected
Vincent has over 30 years of experience in Data Science, AI, and Decision Optimization.
He worked as Head of Data Science (Consulting) with organizations including Honeywell, ILOG, IBM. He has strong modeling skills in mathematical programming and machine learning.
Vincent's main objective is to help organizations identify and deploy analytics that maximizes ROI. He holds an M.S. in Data Science / AI from the University of Paris Saclay.