Vincent Gosselin, CEO and co-founder of Taipy, an open-source Python library, joins Jon Krohn to discuss how to accelerate productivity in Python and build scalable, reusable, and maintainable data pipelines. Gosselin shares his breadth of wisdom honed over his decades-long AI career.

This episode is brought to you by Pathway, the reactive data processing framework, and by Posit, the open-source data science company. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• The Taipy library functionality [2:59]
• The future of data pipelines [21:40]
• Common trends of companies that are successful at adopting data pipelines [28:31]
• How no-code and low-code trends impact the data science lifecycle [33:00]
• How Vincent chose the programming languages that underpin Taipy [41:40]
• Common trends on how companies manage their data to learn from it [45:06]
• Vincent's perspective on AI winters [51:03]

Additional materials: www.superdatascience.com/673

673: Taipy, the open-source Python application builder 01:12:01 Share

Super Data Science: ML & AI Podcast with Jon Krohn

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673: Taipy, the open-source Python application builder