Pandas is a powerful Python library for data manipulation and analysis. Frequently, data arrives in JSON format, requiring conversion to a Pandas DataFrame for efficient processing. This article explores two primary methods for this conversion: using json_normalize() and read_json(), highlighting their strengths and weaknesses. Table of Contents Efficiently Handling Nested…