Super Data Science: ML & AI Podcast with Jon Krohn cover image

673: Taipy, the open-source Python application builder

Super Data Science: ML & AI Podcast with Jon Krohn

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Building Data Pipelines and Scenarios with Taipei

The chapter explains how Python developers and data scientists can create scenarios and data pipelines using Taipei, focusing on modeling data nodes, tasks, and visualizing them graphically. It discusses the challenges organizations face with scalability and maintainability, emphasizing the importance of graphical tools for designing and sharing pipelines. The chapter also touches on future improvements in Taipei, including DAG modeling, pipeline versioning, and tools for seamless migration to updated pipeline versions.

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