SE Radio 676: Samuel Colvin On The Pydantic Ecosystem Software Engineering Radio - The Podcast For Professional Software Developers podcast

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SE Radio 676: Samuel Colvin on the Pydantic Ecosystem

5M ago 1:02:06

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内容由SE Radio Team and [email protected] (SE-Radio Team)提供。所有播客内容（包括剧集、图形和播客描述）均由 SE Radio Team and [email protected] (SE-Radio Team) 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。

Samuel Colvin, the CEO and founder of Pydantic, speaks with host Gregory M. Kapfhammer about the ecosystem of Pydantic's Python frameworks, including Pydantic, Pydantic AI, and Pydantic Logfire.

Along with discussing the design, implementation, and use of these frameworks, they dive into the refactoring of Pydantic and the follow-on performance improvements. They also explore ways in which Python programmers can use these three frameworks to build, test, evaluate, and monitor their own applications that interact with both local and cloud-based large language models.

Brought to you by IEEE Computer Society and IEEE Software magazine.

… continue reading

1058集单集

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SE Radio 676: Samuel Colvin on the Pydantic Ecosystem

Software Engineering Radio - the podcast for professional software developers

44,246 subscribers

published 5M ago

分享

MP3•单集首页

内容由SE Radio Team and [email protected] (SE-Radio Team)提供。所有播客内容（包括剧集、图形和播客描述）均由 SE Radio Team and [email protected] (SE-Radio Team) 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。

Samuel Colvin, the CEO and founder of Pydantic, speaks with host Gregory M. Kapfhammer about the ecosystem of Pydantic's Python frameworks, including Pydantic, Pydantic AI, and Pydantic Logfire.

Along with discussing the design, implementation, and use of these frameworks, they dive into the refactoring of Pydantic and the follow-on performance improvements. They also explore ways in which Python programmers can use these three frameworks to build, test, evaluate, and monitor their own applications that interact with both local and cloud-based large language models.

Brought to you by IEEE Computer Society and IEEE Software magazine.

… continue reading

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