Creating a sustainable company involves balancing revenue-generating enterprise products with open source initiatives. By feeding the enterprise side with open source contributions, the business aims to support open source development and sustain its mission in the realm of data science for the foreseeable future. This model has been successfully implemented by dedicating a significant portion of engineering efforts to open source software development, aiming to establish a long-term presence in the ecosystem.
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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