An A.I. expert for nearly 40 years, Vincent Gosselin adores the field's lingua franca, Python. In today's episode, hear how he created its open-source Taipy library so you can easily build Python-based web apps and scalable, reusable data pipelines.
Vincent:
• Is CEO and co-founder of taipy.io, an open-source Python library that works up and down the stack to both easily build web applications and back-end data pipelines.
• Having obtained his Masters in CS and A.I. from the Université Paris-Saclay in 1987, he’s amassed a wealth of experience across a broad range of industries, including semiconductors, finance, airspace, and logistics.
• Has held roles including Director of Software Development at ILOG, Director of Advanced Analytics at IBM, and VP of Advanced Analytics at DecisionBrain.
Today’s episode will appeal primarily to hands-on practitioners who are keen to hear about how they can be accelerating their productivity in Python, whether it’s on the front end (to build a data-driven web-application) or on the back end (to have scalable, reusable and maintainable data pipelines). That said, Vincent’s breadth of wisdom — honed over his decades-long A.I. career — may prove to be fascinating and informative to technical and non-technical listeners alike.
In this episode, Vincent details:
• The critical gaps in Python development that led him to create Taipy.
• How much potential there is for data-pipeline engineering to be improved.
• How shifting toward lower-code environments can accelerate Python development without sacrificing any flexibility.
• The 50-year-old programming language that was designed for A.I. and that he was nostalgic for until Python emerged on the scene.
The SuperDataScience podcast is available on all major podcasting platforms, YouTube, and at SuperDataScience.com.