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The Data Scientist Show
Why he created Pandas, the future of data systems, why he left his CTO role to become a chief architect - Wes McKinney - The Data Scientist Show #086
Mar 22, 2024
Wes McKinney, creator of Pandas, shares how it started, benefits of user-friendly data tools, challenges in building products, transitioning to a top architect role, improving open source, and using ChatGPT for learning, with a focus on future impact goals and career excitement.
52:24
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Quick takeaways
- Pandas was born from a need for better Python data tools after the 2007 financial crisis.
- Voltron Data aims to boost innovation in Apache Arrow for hardware acceleration technologies.
Deep dives
The Origins and Motivation Behind Panda's Library
Wes McKinney, the co-creator of Panda's Library, revealed that the inspiration for developing Panda's stemmed from his early career frustrations in quant finance during the 2007 financial crisis. Observing the lack of data analysis tools in Python similar to those found in R, McKinney sought to build Python tools to facilitate data processing. As Panda's gained popularity among his colleagues, he persuaded his company to open source it in 2009.
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