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:
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▶️ Full Playlist:
   • Pydantic  

𝗦𝗼𝗰𝗶𝗮𝗹 𝗠𝗲𝗱𝗶𝗮:
📖 Blog: https://www.bugbytes.io/posts/introdu...
👾 Github: https://github.com/bugbytes-io/datasets

📚 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