Introducing basic NumPy concepts helps in understanding array oriented computing and the basics of Python, which is essential to comprehend the functionalities of pandas. The book follows an incremental learning approach where readers start with mastering initial techniques and gradually move on to advanced techniques. It is a pedagogical resource that becomes more advanced as readers progress. Additionally, the book is freely available on the internet, thanks to the collaboration with JJ Lair to use Corto for technical publishing.
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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