
753: Blend Any Programming Languages in Your ML Workflows, with Dr. Greg Michaelson
Super Data Science: ML & AI Podcast with Jon Krohn
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Revolutionizing Data Science Development Tools
The chapter delves into the limitations of current data science development tools and the need for a comprehensive environment that blends interactivity and stability. It discusses the endeavor to create a powerful IDE for visually designing data science workflows, addressing the challenges in transitioning code from Jupyter Notebooks to production. The conversation also touches upon the market potential for tools that streamline code deployment and the importance of collaborative tools in managing notebooks across distributed teams.
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