Pydantic is a very useful package that makes dealing with data much easier, similar to what Python's builtin dataclasses do. Where Pydantic shines is in dealing with validating and sanitizing data. In this tutorial video, I show you how it works, and when to choose Pydantic over dataclasses in your code projects.

The code that I worked on in this video is available here: https://github.com/ArjanCodes/2021py....

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A few interesting links to articles and books:
Design Patterns: Elements of Reusable ObjectOriented Software by Erich Gamma, Richard Helm, Ralph Johnson, and John Vlissides: https://amzn.to/3jllgyH
Principles of Package Design: Creating Reusable Software Components by Matthias Noback: https://amzn.to/2NETK3l
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The original Design Principles and Design Patterns article by Robert Martin: https://fi.ort.edu.uy/innovaportal/fi...

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Chapters:
0:00 Intro
0:52 Explaining the example
1:54 Creating a Pydantic Basemodel
4:42 Adding field validation
9:47 Adding modellevel validation
12:54 More possibilities by adding a Config class
14:03 Converting the model instances to a dictionary
14:38 Other things that Pydantic can do
15:38 So, are dataclasses obsolete?

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