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#466: Pydantic Performance Tips
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Manage episode 423636321 series 1422209
Content provided by Michael Kennedy and Michael Kennedy (@mkennedy). All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Michael Kennedy and Michael Kennedy (@mkennedy) 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://player.fm/legal.
You're using Pydantic and it seems pretty straightforward, right? But could you adopt some simple changes to your code that would make it a lot faster and more efficient? Chances are, you'll find a couple of the tips from Sydney Runkle that will do just that. Join us to talk about Pydantic performance tips here on Talk Python.
Episode sponsors
Sentry Error Monitoring, Code TALKPYTHON
Code Comments
Talk Python Courses
Links from the show
…
continue reading
Episode sponsors
Sentry Error Monitoring, Code TALKPYTHON
Code Comments
Talk Python Courses
Links from the show
Sydney Runkle: linkedin.com
Pydantic: pydantic.dev
Performance docs: docs.pydantic.dev
Union tips: docs.pydantic.dev
Sydney's presentation slides: docs.google.com
JSON to Pydantic: jsontopydantic.com
Samuel talking FastUI: talkpython.fm
CodeFlash: codeflash.ai
Codspeed: codspeed.io
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm
--- Stay in touch with us ---
Subscribe to us on YouTube: youtube.com
Follow Talk Python on Mastodon: talkpython
Follow Michael on Mastodon: mkennedy
Pydantic: pydantic.dev
Performance docs: docs.pydantic.dev
Union tips: docs.pydantic.dev
Sydney's presentation slides: docs.google.com
JSON to Pydantic: jsontopydantic.com
Samuel talking FastUI: talkpython.fm
CodeFlash: codeflash.ai
Codspeed: codspeed.io
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm
--- Stay in touch with us ---
Subscribe to us on YouTube: youtube.com
Follow Talk Python on Mastodon: talkpython
Follow Michael on Mastodon: mkennedy
673 episodes
MP3•Episode home
Manage episode 423636321 series 1422209
Content provided by Michael Kennedy and Michael Kennedy (@mkennedy). All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Michael Kennedy and Michael Kennedy (@mkennedy) 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://player.fm/legal.
You're using Pydantic and it seems pretty straightforward, right? But could you adopt some simple changes to your code that would make it a lot faster and more efficient? Chances are, you'll find a couple of the tips from Sydney Runkle that will do just that. Join us to talk about Pydantic performance tips here on Talk Python.
Episode sponsors
Sentry Error Monitoring, Code TALKPYTHON
Code Comments
Talk Python Courses
Links from the show
…
continue reading
Episode sponsors
Sentry Error Monitoring, Code TALKPYTHON
Code Comments
Talk Python Courses
Links from the show
Sydney Runkle: linkedin.com
Pydantic: pydantic.dev
Performance docs: docs.pydantic.dev
Union tips: docs.pydantic.dev
Sydney's presentation slides: docs.google.com
JSON to Pydantic: jsontopydantic.com
Samuel talking FastUI: talkpython.fm
CodeFlash: codeflash.ai
Codspeed: codspeed.io
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm
--- Stay in touch with us ---
Subscribe to us on YouTube: youtube.com
Follow Talk Python on Mastodon: talkpython
Follow Michael on Mastodon: mkennedy
Pydantic: pydantic.dev
Performance docs: docs.pydantic.dev
Union tips: docs.pydantic.dev
Sydney's presentation slides: docs.google.com
JSON to Pydantic: jsontopydantic.com
Samuel talking FastUI: talkpython.fm
CodeFlash: codeflash.ai
Codspeed: codspeed.io
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm
--- Stay in touch with us ---
Subscribe to us on YouTube: youtube.com
Follow Talk Python on Mastodon: talkpython
Follow Michael on Mastodon: mkennedy
673 episodes
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