I love Jupyter Notebooks... but they have a lot of painful "features". Today's guest Akshay Agrawal has built marimo, which resolves these issues and adds in lots of clever new innovations.

More on Akshay:

Co-founder and CEO of marimo.
Carried out a PhD in electrical engineering at Stanford University.
Previously held software engineering roles at Google and Netflix.

Today's episode will appeal most to hands-on practitioners. In it, we cover:

Why 96% of Jupyter notebooks fail to reproduce their original results.
How reactive notebooks can transform a simple slider adjustment into automatic recalculation across your entire analysis — like Excel for data science.
How you can now intuitively select data points with your mouse in a scatter plot and instantly get them back as a Python dataframe for analysis.
How one marimo notebook can simultaneously be an executable script, an importable Python module, and even a fully functional click-and-point UI!

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