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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

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Manage episode 408354478 series 3012777
内容由Daliana Liu提供。所有播客内容(包括剧集、图形和播客描述)均由 Daliana Liu 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

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

  continue reading

90集单集

Artwork
icon分享
 
Manage episode 408354478 series 3012777
内容由Daliana Liu提供。所有播客内容(包括剧集、图形和播客描述)均由 Daliana Liu 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

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

  continue reading

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