Abstract: In the Python open-source ecosystem, many packages are available that cater to:
- the building of great algorithms
- the visualization of data
Despite this, over 85% of Data Science Pilots remain pilots and do not make it to the production stage.
With Taipy, a new open-source Python framework, Data Scientists/Python Developers are 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: Gradio, Streamlit, Dash, etc.
Taipy Core fills a void in the standard Python back-end stack.
Bio: Albert has skills in machine learning and big data to solve (financial) optimization problems. He developed projects of different skill levels for Taipy’s tutorial videos. He got his degree from McGill University - Bachelor of Science. Major in Computer Science & Statistics. Minor in Finance.
Customer Success Manager | Quantitative Analyst | Taipy | MSTS