Data science tools like IBIS have the capability to configure and extend them, allowing for different configurations while keeping the API consistent. This flexibility contrasts with projects like Modin, which focus on closely emulating existing APIs like pandas to create a drop-in replacement, following the pandas emulation route.
This episode dives into some of the most important data science libraries from the Python space with one of its pioneers: Wes McKinney. He's the creator or co-creator of pandas, Apache Arrow, and Ibis projects and an entrepreneur in this space.
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