Talk Python + Pydantic - Talk Python to Me Ep.313

Video Description

Data validation and conversion is one of the truly tricky part of getting external data into your app. This might come from a REST API, a file on disk, or somewhere else. This includes checking for required fields, correct data types, converting from compatible types (for example, strings to numbers), and much more. Pydantic is one of the best ways to do this in modern Python using dataclass-like constructs and type annotations to make it all seamless and automatic. We welcome Samuel Colvin, creator of Pydantic, to the show. We'll dive into the history of Pydantic and it's many uses and benefits. ▬▬▬▬ About the podcast ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ This video is the uncut, live recording of the Talk Python To Me podcast ( https://talkpython.fm ). We cover Python-focused topics every week and publish the edited and polished version in audio form. Subscribe in your podcast player of choice (100% free) at https://talkpython.fm/subscribe. ▬▬▬▬ Guests ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Samuel on Twitter: https://twitter.com/samuel_colvin ▬▬▬▬ Links and resources from the show ▬▬▬▬▬▬▬▬▬▬▬▬ pydantic: https://pydantic-docs.helpmanual.io/ Contributing / help wanted @ pydantic: https://github.com/samuelcolvin/pydantic/labels/help%20wanted python-devtools package: https://python-devtools.helpmanual.io/ IMPORTANT: PEP 563, PEP 649 and the future of pydantic #2678 GitHub issue on Typing: https://github.com/samuelcolvin/pydantic/issues/2678 Listen this episode on Talk Python: https://talkpython.fm/episodes/show/313/automate-your-data-exchange-with-pydantic Episode transcripts: https://talkpython.fm/episodes/transcript/313/automate-your-data-exchange-with-pydantic ▬▬▬▬ Dive deeper ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Listen to the Talk Python To Me podcast at https://talkpython.fm Over 250 hours of Python courses at https://training.talkpython.fm/courses Follow us on on Mastodon. Michael: https://fosstodon.org/@mkennedy & Talk Python https://fosstodon.org/@talkpython