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911: The Future of Python Notebooks is Here, with Marimo’s Dr. Akshay Agrawal

911: The Future of Python Notebooks is Here, with Marimo’s Dr. Akshay Agrawal

Released Tuesday, 5th August 2025
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911: The Future of Python Notebooks is Here, with Marimo’s Dr. Akshay Agrawal

911: The Future of Python Notebooks is Here, with Marimo’s Dr. Akshay Agrawal

911: The Future of Python Notebooks is Here, with Marimo’s Dr. Akshay Agrawal

911: The Future of Python Notebooks is Here, with Marimo’s Dr. Akshay Agrawal

Tuesday, 5th August 2025
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Reproducibility, Python notebooks, and data science communities: Software developer Akshay Agrawal speaks to Jon Krohn about Marimo, the next-generation computational notebook for Python, how he built and fostered a thriving community around the product, and what makes this notebook so versatile and accessible for users. 

Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/911⁠⁠⁠⁠⁠

This episode is brought to you by ⁠Trainium2, the latest AI chip from AWS ⁠and by the ⁠Dell AI Factory with NVIDIA⁠.

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

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The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast. As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact.Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy.We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.

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