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Pydantic Introduction - Models, Fields, Constrained Types, Validator Functions and Model Exports

In this video, we dive into the Pydantic library in Python. This is based on the following blog post: https://www.bugbytes.io/posts/introdu... We'll learn a number of things, including: 1. How to define Pydantic model classes and fields with type-annotations. 2. How to define Optional fields and constrained fields 3. How to work with complex Python types such as UUID, Enum and date objects 4. How to define a custom validator function for a field on the model 5. How to export models to JSON and Python dictionaries Github data: https://github.com/bugbytes-io/datasets 📌 𝗖𝗵𝗮𝗽𝘁𝗲𝗿𝘀: 00:00 Intro 01:13 Analysis of the structure of the data to model 02:47 Installing Pydantic and Requests packages 04:02 Defining Pydantic model class 06:22 Creating Optional fields on the Pydantic model 11:09 Constrained fields in Pydantic 15:23 Using custom validator functions in Pydantic 19:54 Using Enums as types in Pydantic models 22:22 Exporting Pydantic models to dictionaries and JSON ☕️ 𝗕𝘂𝘆 𝗺𝗲 𝗮 𝗰𝗼𝗳𝗳𝗲𝗲: To support the channel and encourage new videos, please consider buying me a coffee here: https://ko-fi.com/bugbytes ▶️ Full Playlist:    • Pydantic   𝗦𝗼𝗰𝗶𝗮𝗹 𝗠𝗲𝗱𝗶𝗮: 📖 Blog: https://www.bugbytes.io/posts/introdu... 👾 Github: https://github.com/bugbytes-io/datasets 🐦 Twitter:   / bugbytesio   📚 𝗙𝘂𝗿𝘁𝗵𝗲𝗿 𝗿𝗲𝗮𝗱𝗶𝗻𝗴 𝗮𝗻𝗱 𝗶𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: Pydantic Blog post: https://www.bugbytes.io/posts/introdu... Github Dataset: https://github.com/bugbytes-io/datasets Pydantic Models: https://docs.pydantic.dev/usage/models/ Pydantic Validators: https://docs.pydantic.dev/usage/valid... #python #pydantic #datascience