#DataPipeline #Taipy #PythonLibraries Vincent Gosselin, CEO and co-founder of Taipy, @taipy_io, an open-source Python library, joins @JonKrohnLearns 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 (https://www.pathway.com/?from=superdatascience), and by Posit, the open-source data science company (https://posit.co/academy). Interested in sponsoring a SuperDataScience Podcast episode? Visit https://jonkrohn.com/podcast for sponsorship information. In this episode you will learn: • [00:00:00] The Taipy library functionality • [00:19:16] The future of data pipelines • [00:26:29] Common trends of companies that are successful at adopting data pipelines • [00:31:39] How no-code and low-code trends impact the data science lifecycle • [00:39:44] How Vincent chose the programming languages that underpin Taipy • [00:43:06] Common trends on how companies manage their data to learn from it • [00:49:02] Vincent's perspective on AI winters Additional materials: https://www.superdatascience.com/673