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Wes McKinney is the co-creator of pandas library and he is the cofounder of Voltron data. Currently he is a principal Architect at Posit and an investor in data systems.
Daliana's Twitter: https://twitter.com/DalianaLiu
Daliana’s LinkedIn: https://www.linkedin.com/in/dalianaliu/
Wes' LinkedIn: https://www.linkedin.com/in/wesmckinn/
(00:00:00) Introduction
(00:00:44) How Pandas Started
(00:06:40) Voltron Data
(00:10:03) Benefits of Easy-to-Use Data Tools
(00:13:20) The Rise of New Data Tools
(00:18:07) Choosing Tools: Vertical or Flexible?
(00:23:01) Big Models and Data Tools
(00:29:29) Challenges in Building a Product
(00:31:28) Becoming a Top Architect
(00:34:55) Missed Aspects of Previous Roles
(00:39:04) A Busy Week: Advising, Designing, Investing
(00:43:42) Improving Open Source
(00:45:24) How to Decide What to Work On
(00:46:28) What he’s learning now
(00:47:56) Excitement in Career and Life
(00:48:29) Using ChatGPT for Learning
(00:50:27) Future Impact Goals
By Daliana Liu4.7
7575 ratings
Wes McKinney is the co-creator of pandas library and he is the cofounder of Voltron data. Currently he is a principal Architect at Posit and an investor in data systems.
Daliana's Twitter: https://twitter.com/DalianaLiu
Daliana’s LinkedIn: https://www.linkedin.com/in/dalianaliu/
Wes' LinkedIn: https://www.linkedin.com/in/wesmckinn/
(00:00:00) Introduction
(00:00:44) How Pandas Started
(00:06:40) Voltron Data
(00:10:03) Benefits of Easy-to-Use Data Tools
(00:13:20) The Rise of New Data Tools
(00:18:07) Choosing Tools: Vertical or Flexible?
(00:23:01) Big Models and Data Tools
(00:29:29) Challenges in Building a Product
(00:31:28) Becoming a Top Architect
(00:34:55) Missed Aspects of Previous Roles
(00:39:04) A Busy Week: Advising, Designing, Investing
(00:43:42) Improving Open Source
(00:45:24) How to Decide What to Work On
(00:46:28) What he’s learning now
(00:47:56) Excitement in Career and Life
(00:48:29) Using ChatGPT for Learning
(00:50:27) Future Impact Goals

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