Improving Performance in Pydantic Data Validation

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.