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SE Radio 676: Samuel Colvin on the Pydantic Ecosystem

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Manage episode 493714718 series 215
Content provided by SE-Radio Team. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by SE-Radio Team or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.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

1033 episodes

Artwork
iconShare
 
Manage episode 493714718 series 215
Content provided by SE-Radio Team. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by SE-Radio Team or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.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

1033 episodes

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