Python Types | Pydantic Models | Annotated #python #pydanticmodal #annotated
Discover the power of Python types, Pydantic models, and annotations! Dive into the world of structured data validation and serialization with Pydantic, a robust library that simplifies data validation and parsing. Learn how to leverage Python annotations to define clear and concise data models, making your code more readable and maintainable. Whether you're a beginner or an experienced Python developer, this exploration of Python types and Pydantic models will enhance your understanding of data handling in Python applications. Join us and level up your Python programming skills today!
Link to the code Repo: https://github.com/techloset/fastapi-...
▬▬▬▬▬▬ T I M E S T A M P S ⏰ ▬▬▬▬▬▬
-00:20 Python Types Intro
-01:19 Examples
-02:00 Add Types
-03:08 Simple Types
-03:30 Generic Types with Type Parameter
-04:15 New Version of Python
-04:30 List
-05:49 Dictionary
-08:07 Mypy
-10:52 Poetry Shell (Activate Poetry Environment)
-12:30 Union Sign (|)
-12:35 How to import Union
-13:47 Optional
-14:35 Set Default Value for Optional
-15:57 Possibly None
-16:20 Pydantic models
-17:56 Import Base Model from Pydantic
-19:01 class
-21:51 Set Default value in Pydantic
-23:30 Type Hints with Metadata Annotations
-24:48 Import Annotated
-26:35 Path Function
-29:00 Type hints in FastAPI
-30:30 Two most Important Things (Pydantic & Annotations)
-32 40 Pydantic Explanation
-35:20 Annotated Purpose
-36:30 Python Types Explanation
-37:42 Bite Types
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