This chapter provides tips for enhancing performance when validating data in Python using Pydantic, emphasizing strategies like using the built-in validate JSON method, type adapters, and specifying specific type hints to optimize code performance. It discusses efficient creation of type adapters, emphasizing object initialization once to prevent rebuilding core schemas multiple times. The chapter also addresses common misunderstandings and confusion related to importing codes and type specifications for improved efficiency in Python coding.
You're using Pydantic and it seems pretty straightforward, right? But could you adopt some simple changes to your code that would make it a lot faster and more efficient? Chances are, you'll find a couple of the tips from Sydney Runkle that will do just that. Join us to talk about Pydantic performance tips here on Talk Python.
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